In the presentation overview of Service Level Agreement in Cloud Computing is discussed. Also introduction to Cloud Computing, and its benefits are too discussed.
This document provides information about firewalls, including definitions, design principles, characteristics, and types. It defines a firewall as software that monitors incoming and outgoing network traffic to protect networks. Firewalls are designed to establish a controlled link between networks and protect internal networks from external attacks. There are three main types of firewalls: packet-filtering routers, application-level gateways, and circuit-level gateways. Packet-filtering routers apply rules to IP packets to forward or discard them, while application-level gateways act as proxies for application traffic. Circuit-level gateways determine which network connections are allowed.
This document provides an overview of cloud computing, including definitions, types, architecture, services, trends, and conclusions. It defines cloud computing as utilizing shared computing resources and information provided over the internet on demand. The document outlines the key components of cloud computing architecture including the front-end and back-end. It describes the main types of cloud computing as public, private, and hybrid and provides examples and comparisons of advantages and disadvantages. Additionally, it outlines common cloud computing services including SaaS, PaaS, and IaaS and provides diagrams to illustrate cloud computing concepts. Recent trends and a conclusion emphasizing the cost benefits of cloud computing are also presented.
This document discusses constraint satisfaction problems (CSPs) and techniques for solving them. It begins by defining CSPs as problems with variables, domains of possible values, and constraints limiting assignments. Backtracking search and heuristics like minimum remaining values are described as standard approaches. Constraint propagation techniques like forward checking and arc consistency are explained, which aim to detect inconsistencies earlier. The 4-queens problem is provided as an example CSP.
This document provides an overview of cluster computing. It defines a cluster as a group of loosely coupled computers that work together closely to function as a single computer. Clusters improve speed and reliability over a single computer and are more cost-effective. Each node has its own operating system, memory, and sometimes file system. Programs use message passing to transfer data and execution between nodes. Clusters can provide low-cost parallel processing for applications that can be distributed. The document discusses cluster architecture, components, applications, and compares clusters to grids and cloud computing.
cloud computing, Principle and Paradigms: 1 introdutionMajid Hajibaba
The document is a presentation on cloud computing that covers its principles, paradigms, and various models. It defines cloud computing, discusses its roots in technologies like grid computing and virtualization, and describes the different layers including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers deployment models, desired features, infrastructure management challenges, and examples of cloud providers like Amazon Web Services.
A list in Python is a mutable ordered sequence of elements of any data type. Lists can be created using square brackets [] and elements are accessed via indexes that start at 0. Some key characteristics of lists are:
- They can contain elements of different types
- Elements can be modified, added, or removed
- Common list methods include append(), insert(), remove(), pop(), and sort()
The document discusses web servers and their key components and functions. It covers:
1) The definition of a web server as a program that generates and transmits responses to client requests for web resources by parsing requests, authorizing access, and constructing responses.
2) How web servers handle client requests through steps like parsing requests, authorizing access, and transmitting responses. They can also dynamically generate responses through server-side includes and server scripts.
3) Techniques web servers use like access control through authentication and authorization, passing data to scripts, using cookies, caching responses, and allocating resources through event-driven, process-driven, and hybrid architectures.
Platform as a Service (PaaS) provides developers with tools and services to build, run, and manage applications over the internet without having to manage the underlying infrastructure. PaaS handles servers, operating systems, storage, networking, and other services so developers can focus on developing and deploying applications. Common PaaS services include application runtime, messaging, data services, and application management. PaaS allows for efficient, cost-effective application development by abstracting away the complexity of infrastructure management.
In the presentations definition of SLA, its types and life cycle of SLA is discussed or explained in the session. For Live video you can listen to me on https://www.youtube.com/user/neeleshcmc
The document discusses cloud resource management and cloud computing architecture. It covers the following key points in 3 sentences:
Cloud architecture can be broadly divided into the front end, which consists of interfaces and applications for accessing cloud platforms, and the back end, which comprises resources for providing cloud services like storage, virtual machines, and security mechanisms. Common cloud service models include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Virtualization techniques allow for the sharing of physical resources among multiple organizations by assigning logical names to physical resources and providing pointers to access them.
The document discusses service level agreement (SLA) management in cloud computing. It describes the five phases of SLA management: feasibility, on-boarding, pre-production, production, and termination. In the feasibility phase, technical, infrastructure, and financial feasibility of hosting an application on a cloud platform are assessed. In the on-boarding phase, the application is moved to the hosting platform and its performance is analyzed. The pre-production phase involves hosting the application in a test environment to validate the SLA. In production, the application goes live under the agreed SLA. Finally, termination occurs when hosting is ended and customer data is transferred or removed.
Cloud Computing offers an on-demand and scalable access to a shared pool of resources hosted in a data center at providers’ site. It reduces the overheads of up-front investments and financial risks for the end-user. Regardless of the fact that cloud computing offers great advantages to the end users, there are several challenging issues that are mandatory to be addressed.
Client/server computing involves separating tasks between client and server machines. The client makes requests that are processed by the server, which returns results to the client. Key elements are the client, server, and network connecting them. Major focus is on the software handling tasks like the user interface, application logic, and data management between client and server. Different types of servers specialize in files, data, computing tasks, databases, and communication between networks.
The document provides an introduction to distributed systems, defining them as a collection of independent computers that communicate over a network to act as a single coherent system. It discusses the motivation for and characteristics of distributed systems, including concurrency, lack of a global clock, and independence of failures. Architectural categories of distributed systems include tightly coupled and loosely coupled, with examples given of different types of distributed systems such as database management systems, ATM networks, and the internet.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Cloud load balancing distributes workloads and network traffic across computing resources in a cloud environment to improve performance and availability. It routes incoming traffic to multiple servers or other resources while balancing the load. Load balancing in the cloud is typically software-based and offers benefits like scalability, reliability, reduced costs, and flexibility compared to traditional hardware-based load balancing. Common cloud providers like AWS, Google Cloud, and Microsoft Azure offer multiple load balancing options that vary based on needs and network layers.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Parallel and distributed computing allows problems to be broken into discrete parts that can be solved simultaneously. This approach utilizes multiple processors that work concurrently on different parts of the problem. There are several types of parallel architectures depending on how instructions and data are distributed across processors. Shared memory systems give all processors access to a common memory space while distributed memory assigns private memory to each processor requiring explicit data transfer. Large-scale systems may combine these approaches into hybrid designs. Distributed systems extend parallelism across a network and provide users with a single, integrated view of geographically dispersed resources and computers. Key challenges for distributed systems include transparency, scalability, fault tolerance and concurrency.
This document provides an overview of CloudSim, an open-source simulation toolkit for modeling and simulating cloud computing environments and applications. It discusses CloudSim's architecture, features, and applications. CloudSim provides a framework for modeling data centers, cloud resources, virtual machines, and cloud services to simulate cloud computing infrastructure and platforms. It has been used by researchers around the world for applications like evaluating resource allocation algorithms, energy-efficient management of data centers, and optimization of cloud computing environments and workflows.
- Virtualization allows multiple operating systems to run concurrently on a single physical machine by presenting each virtual operating system with a virtual hardware environment. A hypervisor manages access to the physical hardware resources and isolates the virtual machines.
- Cloud computing extends virtualization by allowing virtual servers and other resources to be dynamically provisioned on demand from large shared computing infrastructure. This improves flexibility and allows users to pay only for resources that are consumed.
- The hypervisor software manages the virtual machines and allocates physical resources to each one while isolating them from each other. Example hypervisors include VMware, Xen, and KVM. Virtualization improves hardware utilization and makes infrastructure more flexible and cost-effective.
The Open Cloud Consortium (OCC) is a non-profit organization that supports cloud computing standards and develops testbeds for interoperability. It has members from companies, universities, and government agencies. The OCC manages the Open Cloud Testbed, Intercloud Testbed, and Open Science Data Cloud. It also has working groups focused on large data clouds, applications, and cloud services. The Intercloud Testbed aims to address gaps in linking infrastructure and platform services. Benchmarks like Gray Sort and MalStone are used to evaluate large data cloud performance. The Open Cloud Testbed provides shared cloud resources through a "condominium cloud" model. The Open Science Data Cloud hosts scientific data sets for research.
Query Processing : Query Processing Problem, Layers of Query Processing Query Processing in Centralized Systems – Parsing & Translation, Optimization, Code generation, Example Query Processing in Distributed Systems – Mapping global query to local, Optimization,
Pranav Vashistha presented on cloud computing. He discussed basic concepts like traditional on-premise computing versus cloud computing. He covered first movers in cloud like Amazon, Google, and Microsoft. Pranav defined cloud computing and explained its components including clients, data centers, distributed servers. He described the three main cloud service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Pranav also covered types of cloud, benefits like scalability and cost savings, and applications like storage and databases.
The document discusses cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS provides basic computing resources, storage, and networking capabilities. PaaS provides development tools and environments for building applications. SaaS provides users access to applications via the internet without installation or maintenance of software.
The document is a question bank for the cloud computing course CS8791. It contains 26 multiple choice or short answer questions related to key concepts in cloud computing including definitions of cloud computing, characteristics of clouds, deployment models, service models, elasticity, horizontal and vertical scaling, live migration techniques, and dynamic resource provisioning.
This document provides an outline for a course on Parallel and Distributed Computing. The course is for 3 credit hours and has prerequisites in Operating Systems. It aims to teach students about parallel and distributed computers, writing portable parallel programs using MPI, analytical modeling and performance analysis of parallel programs, and shared memory programming with OpenMP. The course content covers topics such as asynchronous/synchronous computation, concurrency control, fault tolerance, GPU programming, load balancing, memory models, message passing with MPI, parallel algorithms and architectures, performance analysis, programming models, scheduling, storage systems, synchronization, and tools for parallel and distributed systems. The teaching methodology incorporates lectures, assignments, labs, projects and presentations. Students are assessed through exams, assignments, qu
A Study On Service Level Agreement Management Techniques In CloudTracy Drey
This document discusses techniques for managing service level agreements (SLAs) in cloud computing. It begins with an introduction to cloud computing and SLAs. SLAs establish performance standards and consequences for violations between cloud service providers and their customers. The document then reviews several proposed techniques for SLA management from other researchers: (1) allowing multiple SLAs with different performance metrics, (2) using third-party auditing to verify SLA fulfillment, and (3) a layered approach to prevent SLA violations through self-management of cloud resources. The techniques aim to help cloud providers better satisfy SLAs and retain customers.
Topic The top 5 details that should be included in your cloud SLA..docxjuliennehar
Topic The top 5 details that should be included in your cloud SLA.
Read and respond to below two student’s discussions. (5-6 lines would be more sufficient) reflecting on your own experience, challenging assumptions, pointing out something new you learned, offering suggestions
#1.Posted by Krishnaveni
A service-level agreement (SLA) defines the level of service expected by a customer from a supplier, laying out the metrics by which that service is measured, and the remedies or penalties, if any, should the agreed-on service levels not be achieved. Usually, SLAs are between companies and external suppliers, but they may also be between two departments within a company. In my point of view below are five key things we need to consider.
Disaster recovery and backup
In the event of a disaster, our cloud provider should have a plan in place to prevent total loss of our data. Cloud providers should have a section of the SLA that describes their disaster recovery and backup solutions in detail. Depending on the provider, they may provide automatic backups and snapshots of our data. If the user is required to set up backup and recovery systems, the SLA should outline that. It may not specifically state how to activate them, but we should be aware if we need to activate them or not.
Data source.
“Where is the information coming from that will be used to measure the provider’s compliance?” In many situations, a customer may have to rely on the cloud provider to provide the information; however, increasingly, there are third parties that can help the customer with this. In a perfect world, the data should be auditable by the customer to verify the data’s accuracy, reliability and validity.
Acceptable performance.
This item specifies the minimum level of service that must be provided, and it answers the question, “What do we want from the provider for this particular service?” It flows from and is directly related to the customer’s objectives under the contract. In the cloud, many SLAs are expressed in terms of availability. For example, a SaaS provider may commit to an application availability of 99.5%.
Scalability
Many SLAs are designed to meet the needs of the customer at the time of signing, but we all know organizations can change dramatically in size over time. Make sure the SLA details intervals for reviewing a contract so that if our organization grows larger, our cloud capacity can grow with it (and if our organization happens to grow smaller, we’ll want the option to reduce capacity; no sense it paying for unused capacity).
Customer responsibilities
The SLA is a contract that outlines responsibilities that both the provider and customer agree to. Our cloud provider needs to inform us of what we’re liable for when we enter the agreement. It could be its own section or sprinkled throughout the agreement, but it must tell us what’s expected of us. Make sure we mull over the entirety of the SLA to know what our provider will manage and what we nee ...
Platform as a Service (PaaS) provides developers with tools and services to build, run, and manage applications over the internet without having to manage the underlying infrastructure. PaaS handles servers, operating systems, storage, networking, and other services so developers can focus on developing and deploying applications. Common PaaS services include application runtime, messaging, data services, and application management. PaaS allows for efficient, cost-effective application development by abstracting away the complexity of infrastructure management.
In the presentations definition of SLA, its types and life cycle of SLA is discussed or explained in the session. For Live video you can listen to me on https://www.youtube.com/user/neeleshcmc
The document discusses cloud resource management and cloud computing architecture. It covers the following key points in 3 sentences:
Cloud architecture can be broadly divided into the front end, which consists of interfaces and applications for accessing cloud platforms, and the back end, which comprises resources for providing cloud services like storage, virtual machines, and security mechanisms. Common cloud service models include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Virtualization techniques allow for the sharing of physical resources among multiple organizations by assigning logical names to physical resources and providing pointers to access them.
The document discusses service level agreement (SLA) management in cloud computing. It describes the five phases of SLA management: feasibility, on-boarding, pre-production, production, and termination. In the feasibility phase, technical, infrastructure, and financial feasibility of hosting an application on a cloud platform are assessed. In the on-boarding phase, the application is moved to the hosting platform and its performance is analyzed. The pre-production phase involves hosting the application in a test environment to validate the SLA. In production, the application goes live under the agreed SLA. Finally, termination occurs when hosting is ended and customer data is transferred or removed.
Cloud Computing offers an on-demand and scalable access to a shared pool of resources hosted in a data center at providers’ site. It reduces the overheads of up-front investments and financial risks for the end-user. Regardless of the fact that cloud computing offers great advantages to the end users, there are several challenging issues that are mandatory to be addressed.
Client/server computing involves separating tasks between client and server machines. The client makes requests that are processed by the server, which returns results to the client. Key elements are the client, server, and network connecting them. Major focus is on the software handling tasks like the user interface, application logic, and data management between client and server. Different types of servers specialize in files, data, computing tasks, databases, and communication between networks.
The document provides an introduction to distributed systems, defining them as a collection of independent computers that communicate over a network to act as a single coherent system. It discusses the motivation for and characteristics of distributed systems, including concurrency, lack of a global clock, and independence of failures. Architectural categories of distributed systems include tightly coupled and loosely coupled, with examples given of different types of distributed systems such as database management systems, ATM networks, and the internet.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Cloud load balancing distributes workloads and network traffic across computing resources in a cloud environment to improve performance and availability. It routes incoming traffic to multiple servers or other resources while balancing the load. Load balancing in the cloud is typically software-based and offers benefits like scalability, reliability, reduced costs, and flexibility compared to traditional hardware-based load balancing. Common cloud providers like AWS, Google Cloud, and Microsoft Azure offer multiple load balancing options that vary based on needs and network layers.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Parallel and distributed computing allows problems to be broken into discrete parts that can be solved simultaneously. This approach utilizes multiple processors that work concurrently on different parts of the problem. There are several types of parallel architectures depending on how instructions and data are distributed across processors. Shared memory systems give all processors access to a common memory space while distributed memory assigns private memory to each processor requiring explicit data transfer. Large-scale systems may combine these approaches into hybrid designs. Distributed systems extend parallelism across a network and provide users with a single, integrated view of geographically dispersed resources and computers. Key challenges for distributed systems include transparency, scalability, fault tolerance and concurrency.
This document provides an overview of CloudSim, an open-source simulation toolkit for modeling and simulating cloud computing environments and applications. It discusses CloudSim's architecture, features, and applications. CloudSim provides a framework for modeling data centers, cloud resources, virtual machines, and cloud services to simulate cloud computing infrastructure and platforms. It has been used by researchers around the world for applications like evaluating resource allocation algorithms, energy-efficient management of data centers, and optimization of cloud computing environments and workflows.
- Virtualization allows multiple operating systems to run concurrently on a single physical machine by presenting each virtual operating system with a virtual hardware environment. A hypervisor manages access to the physical hardware resources and isolates the virtual machines.
- Cloud computing extends virtualization by allowing virtual servers and other resources to be dynamically provisioned on demand from large shared computing infrastructure. This improves flexibility and allows users to pay only for resources that are consumed.
- The hypervisor software manages the virtual machines and allocates physical resources to each one while isolating them from each other. Example hypervisors include VMware, Xen, and KVM. Virtualization improves hardware utilization and makes infrastructure more flexible and cost-effective.
The Open Cloud Consortium (OCC) is a non-profit organization that supports cloud computing standards and develops testbeds for interoperability. It has members from companies, universities, and government agencies. The OCC manages the Open Cloud Testbed, Intercloud Testbed, and Open Science Data Cloud. It also has working groups focused on large data clouds, applications, and cloud services. The Intercloud Testbed aims to address gaps in linking infrastructure and platform services. Benchmarks like Gray Sort and MalStone are used to evaluate large data cloud performance. The Open Cloud Testbed provides shared cloud resources through a "condominium cloud" model. The Open Science Data Cloud hosts scientific data sets for research.
Query Processing : Query Processing Problem, Layers of Query Processing Query Processing in Centralized Systems – Parsing & Translation, Optimization, Code generation, Example Query Processing in Distributed Systems – Mapping global query to local, Optimization,
Pranav Vashistha presented on cloud computing. He discussed basic concepts like traditional on-premise computing versus cloud computing. He covered first movers in cloud like Amazon, Google, and Microsoft. Pranav defined cloud computing and explained its components including clients, data centers, distributed servers. He described the three main cloud service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Pranav also covered types of cloud, benefits like scalability and cost savings, and applications like storage and databases.
The document discusses cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS provides basic computing resources, storage, and networking capabilities. PaaS provides development tools and environments for building applications. SaaS provides users access to applications via the internet without installation or maintenance of software.
The document is a question bank for the cloud computing course CS8791. It contains 26 multiple choice or short answer questions related to key concepts in cloud computing including definitions of cloud computing, characteristics of clouds, deployment models, service models, elasticity, horizontal and vertical scaling, live migration techniques, and dynamic resource provisioning.
This document provides an outline for a course on Parallel and Distributed Computing. The course is for 3 credit hours and has prerequisites in Operating Systems. It aims to teach students about parallel and distributed computers, writing portable parallel programs using MPI, analytical modeling and performance analysis of parallel programs, and shared memory programming with OpenMP. The course content covers topics such as asynchronous/synchronous computation, concurrency control, fault tolerance, GPU programming, load balancing, memory models, message passing with MPI, parallel algorithms and architectures, performance analysis, programming models, scheduling, storage systems, synchronization, and tools for parallel and distributed systems. The teaching methodology incorporates lectures, assignments, labs, projects and presentations. Students are assessed through exams, assignments, qu
A Study On Service Level Agreement Management Techniques In CloudTracy Drey
This document discusses techniques for managing service level agreements (SLAs) in cloud computing. It begins with an introduction to cloud computing and SLAs. SLAs establish performance standards and consequences for violations between cloud service providers and their customers. The document then reviews several proposed techniques for SLA management from other researchers: (1) allowing multiple SLAs with different performance metrics, (2) using third-party auditing to verify SLA fulfillment, and (3) a layered approach to prevent SLA violations through self-management of cloud resources. The techniques aim to help cloud providers better satisfy SLAs and retain customers.
Topic The top 5 details that should be included in your cloud SLA..docxjuliennehar
Topic The top 5 details that should be included in your cloud SLA.
Read and respond to below two student’s discussions. (5-6 lines would be more sufficient) reflecting on your own experience, challenging assumptions, pointing out something new you learned, offering suggestions
#1.Posted by Krishnaveni
A service-level agreement (SLA) defines the level of service expected by a customer from a supplier, laying out the metrics by which that service is measured, and the remedies or penalties, if any, should the agreed-on service levels not be achieved. Usually, SLAs are between companies and external suppliers, but they may also be between two departments within a company. In my point of view below are five key things we need to consider.
Disaster recovery and backup
In the event of a disaster, our cloud provider should have a plan in place to prevent total loss of our data. Cloud providers should have a section of the SLA that describes their disaster recovery and backup solutions in detail. Depending on the provider, they may provide automatic backups and snapshots of our data. If the user is required to set up backup and recovery systems, the SLA should outline that. It may not specifically state how to activate them, but we should be aware if we need to activate them or not.
Data source.
“Where is the information coming from that will be used to measure the provider’s compliance?” In many situations, a customer may have to rely on the cloud provider to provide the information; however, increasingly, there are third parties that can help the customer with this. In a perfect world, the data should be auditable by the customer to verify the data’s accuracy, reliability and validity.
Acceptable performance.
This item specifies the minimum level of service that must be provided, and it answers the question, “What do we want from the provider for this particular service?” It flows from and is directly related to the customer’s objectives under the contract. In the cloud, many SLAs are expressed in terms of availability. For example, a SaaS provider may commit to an application availability of 99.5%.
Scalability
Many SLAs are designed to meet the needs of the customer at the time of signing, but we all know organizations can change dramatically in size over time. Make sure the SLA details intervals for reviewing a contract so that if our organization grows larger, our cloud capacity can grow with it (and if our organization happens to grow smaller, we’ll want the option to reduce capacity; no sense it paying for unused capacity).
Customer responsibilities
The SLA is a contract that outlines responsibilities that both the provider and customer agree to. Our cloud provider needs to inform us of what we’re liable for when we enter the agreement. It could be its own section or sprinkled throughout the agreement, but it must tell us what’s expected of us. Make sure we mull over the entirety of the SLA to know what our provider will manage and what we nee ...
RUNNING HEAD Intersession 6 Final Project Projection1Interse.docxjeanettehully
The document discusses moving the SuperTAX desktop tax preparation software to a hosted online model. A group is tasked with consulting on the project. Key challenges include infrastructure testing at larger scale for different devices and operating systems, transitioning from a one-time purchase to a subscription business model, and determining the appropriate project management and software development model for an online hosted application. The group must present positions like project manager and define the challenges for each area, such as infrastructure, marketing/business model, and project management.
InfTo improve the quality of network performance through advanced communication
services and authorized users in equal access to state-of-the-art technology.
In the present atmosphere of tighter budgets and pressure on resources, many public sector organiza-tions, including local authorities, are outsourcing services to outer organizations under service level agreements in cloud computing. Cloud computing is an approach to convey facilitated benefits over the web. Services are available to the users relying upon cloud arrangement and the Service Level Agreement (SLA) between the service providers and the cli-ents. Service level agreements are being utilized inside associations, directing connection between various sections of the association. It requires a commitment from both parties to support and adhere to the agreement in order for the SLA to work effectively. In spite of the fact that it gives a straightforward view about the cloud condition, such as cloud services, cloud distribution, security issues, responsibilities, agreements and warranties of the services. However, there are several issues occur from incorrect SLA which can cause misunderstanding among service providers and clients. SLA checking device confirm the SLA effectively whether it deals with all administrations as per SLA. In this paper, we represent a SLA confirmation and checking process that can distinguish SLA verification in gathering the information. We consider IaaS (Infrastructure as a Service) parameters for SLA verification in Cloud.
A profit maximization scheme with guaranteed quality of service in cloud comp...Pvrtechnologies Nellore
- The document proposes a double resource renting scheme for cloud service providers that combines short-term and long-term server renting. This aims to guarantee quality of service for all requests while reducing resource waste.
- A profit maximization problem is formulated to determine the optimal configuration of servers. Solutions are obtained for ideal and actual scenarios to maximize profit compared to a single renting scheme.
- Comparisons show the double renting scheme can guarantee complete service quality and obtain more profit than a single renting scheme that does not ensure quality of service.
Evaluation of a Framework for Integrated Web ServicesIRJET Journal
This document proposes and evaluates a framework for integrating web services. It begins by discussing how users appreciate simple, on-demand access to affordable software services without needing to install or update applications themselves. The document then presents an argument for a web-based architecture that allows users to access and purchase a wide range of software applications as needed. It evaluates this framework through user surveys and examples of simulation software services to demonstrate how the integrated framework can be implemented. The surveys found that the framework reduced costs, simplified processes, and improved the user experience by combining various online components and software services.
A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Comp...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
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DOTNET Project Domain list 2015
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5. IEEE based on Multimedia
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7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
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This document provides guidelines for clients utilizing managed cloud services from a data center. It discusses key considerations including a shift in responsibility and ownership of components to the service provider. It also notes that more parties will be involved and systems need to be integrated. The document outlines roles in a cloud-enabled data center and types of service agreements like SLAs, OLAs, and UCs that define responsibilities. It provides steps for creating service agreements, elements that should be included, and tasks to complete before implementation like defining governance and compliance requirements.
A FRAMEWORK FOR SOFTWARE-AS-A-SERVICE SELECTION AND PROVISIONINGIJCNCJournal
As cloud computing is increasingly transforming the information technology landscape, organizations and
businesses are exhibiting strong interest in Software-as-a-Service (SaaS) offerings that can help them
increase business agility and reduce their operational costs. They increasingly demand services that can
meet their functional and non-functional requirements. Given the plethora and the variety of SaaS
offerings, we propose, in this paper, a framework for SaaS provisioning, which relies on brokered Service
Level agreements (SLAs), between service consumers and SaaS providers. The Cloud Service Broker (CSB)
helps service consumers find the right SaaS providers that can fulfil their functional and non-functional
requirements. The proposed selection algorithm ranks potential SaaS providers by matching their offerings
against the requirements of the service consumer using an aggregate utility function. Furthermore, the CSB
is in charge of conducting SLA negotiation with selected SaaS providers, on behalf of service consumers,
and performing SLA compliance monitoring
Cloud computing - the impact on revenue recognitionPwC
By 2017 global cloud service providers are expected to generate approximately $235 billion of revenue from cloud computing services.
Telecom companies are searching for ways to save money, limit fixed costs and improve efficiencies. The use of cloud computing can help. However, challenges may arise specifically in revenue recognition patterns and costs associated when accounting for revenue generated for cloud services.
Cloud Management in the Cloud Computing.pptSahilMemane1
Cloud management in cloud computing involves the administration and control of cloud environments, ensuring the efficient use of resources, secure operations, cost optimization, and compliance with regulatory standards. As businesses increasingly migrate to the cloud to take advantage of scalability, flexibility, and cost savings, effective cloud management becomes critical to ensuring the sustainability of cloud infrastructure.
### Key Aspects of Cloud Management
1. **Resource Allocation and Optimization:**
Managing cloud resources effectively involves the dynamic allocation of resources such as CPU, memory, and storage based on workload demands. Automated scaling mechanisms can be employed to adjust resources in real-time to prevent over or under-utilization. Proper resource management helps in reducing wastage and improving the overall performance of applications running on the cloud.
2. **Performance Monitoring and Analytics:**
Continuous monitoring of the cloud infrastructure is essential for ensuring optimal performance and availability of services. Cloud monitoring tools, such as AWS CloudWatch, Microsoft Azure Monitor, and Google Cloud Operations Suite, help track key performance metrics like CPU utilization, memory consumption, network traffic, and uptime. Performance analytics can provide insights into areas of improvement, and alert systems notify administrators in case of anomalies or failures.
3. **Security and Data Privacy:**
Security is a critical aspect of cloud management, as cloud environments can be vulnerable to various cyber threats. Security management involves implementing encryption protocols, securing data in transit and at rest, enforcing identity and access management (IAM) policies, and regular security audits to ensure that the cloud environment remains protected against unauthorized access or data breaches. Multi-factor authentication (MFA), role-based access control (RBAC), and the principle of least privilege are some of the measures employed to enhance security.
4. **Automation and Orchestration:**
Automation simplifies repetitive tasks such as backups, scaling, patch management, and disaster recovery. Cloud automation tools streamline processes, reducing human intervention and errors. Orchestration further extends automation by managing complex workflows across multiple cloud services, often across hybrid or multi-cloud environments. For example, in a multi-cloud setup, orchestration tools can automatically deploy applications across multiple cloud platforms (AWS, Azure, Google Cloud) while maintaining consistent configurations and policies.
5. **Cost Management and Optimization:**
ADAPTIVE MULTI-TENANCY POLICY FOR ENHANCING SERVICE LEVEL AGREEMENT THROUGH R...IJCNCJournal
The appearance of infinite computing resources that available on demand and fast enough to adapt with
load surges makes Cloud computing favourable service infrastructure in IT market. Core feature in Cloud
service infrastructures is Service Level Agreement (SLA) that led seamless service at high quality of service
to client. One of the challenges in Cloud is providing heterogeneous computing services for the clients.
With the increasing number of clients/tenants in the Cloud, unsatisfied agreement is becoming a critical
factor. In this paper, we present an adaptive resource allocation policy which attempts to improve
accountable in Cloud SLA while aiming for enhancing system performance. Specifically, our allocation
incorporates dynamic matching SLA rules to deal with diverse processing requirements from
tenants.Explicitly, it reduces processing overheadswhile achieving better service agreement. Simulation
experiments proved the efficacy of our allocation policy in order to satisfy the tenants; and helps improve
reliable computing.
This document proposes a framework called SLA-Based resource allocation to reduce infrastructure costs and minimize violations of service level agreements (SLAs) for Software as a Service (SaaS) providers. The framework maps customer requests to infrastructure parameters, handles dynamic changes in customer demands, and allocates virtual machines based on SLAs while considering heterogeneity of resources. The goal is to maximize the SaaS provider's profit by optimizing resource usage and reducing penalties from SLA violations when customers dynamically change resource sharing.
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Cloud computing enables people to use resources and services without implementing them on their systems. Profit and quality of service is the most important factor for service providers and it is mainly determined by the configuration of a cloud service platform under given market demand. Single long term renting scheme is usually adopted to design a cloud platform which leads to resource waste and having more renting charges. The novel double renting scheme which is combination of short term and long term renting is aiming at existing issue. This double renting scheme will effectively and efficiently promises a good quality of service of all request and reduces the resource waste significantly. It also provides services with lower cost compared to short term renting scheme. It uses optimal queuing model to maximize the profit. That means the users can access the services simultaneously. The main objective of proposed system is, to maximize profit of service provider by providing efficient and effective services to user.
Pricing Models for Cloud Computing Services, a SurveyEditor IJCATR
Recently, citizens and companies can access utility computing services by using Cloud Computing. These services such as
infrastructures, platforms and applications could be accessed on-demand whenever it is needed. In Cloud Computing, different types of
resources would be required to provide services, but the demands such as requests rates and user's requirements of these services and
the cost of the required resources are continuously varying. Therefore, Service Level Agreements would be needed to guarantee the
service's prices and the offered Quality of Services which are always dependable and interrelated to guarantee revenues maximization
for cloud providers as well as improve customers' satisfaction level. Cloud consumers are always searching for a cloud provider who
provides good service with the least price, so Cloud provider should use advanced technologies and frameworks to increase QoS, and
decrease cost. This paper provides a survey on cloud pricing models and analyzes the recent and relevant research in this field.
Preferences Based Customized Trust Model for Assessment of Cloud ServicesIJECEIAES
This document proposes a preferences based customized trust model (PBCTM) for assessing trust in cloud services. PBCTM considers user preferences for quality of service attributes and evidence of a service's performance on those attributes to calculate a customized trust score. It allows for elastic trust computation that can respond dynamically to changing user preferences over time. The model facilitates periodic ranking and selection of cloud services according to a user's varying quality expectations. Experimental results show PBCTM provides more accurate trust assessments and higher user satisfaction compared to other models.
SERVICE ORIENTED QUALITY REQUIREMENT FRAMEWORK FOR CLOUD COMPUTINGijcsit
This research paper introduces a framework to identify the quality requirements of cloud computing services. It considered two dominant sub-layers; functional layer and runtime layer against cloud characteristics. SERVQUAL model attributes and the opinions of the industry experts were used to derive the quality constructs in cloud computing environment. The framework gives proper identification of cloud computing service quality expectations of users. The validity of the framework was evaluated by using
questionnaire based survey. Partial least squares-structural equation modelling (PLS-SEM) technique was
used to evaluate the outcome. The research findings shows that the significance of functional layer is
higher than runtime layer and prioritized quality factors of two layers are Service time, Information and
data security, Recoverability, Service Transparency, and Accessibility.
360º Degree Requirement Elicitation Framework for Cloud Service ProvidersIJERA Editor
Thisstudy addresses the factors responsible for cloud computing adoption in implementing cloud computing for any organization. Service Level Agreements play a major role for cloud consumer as well as for cloud provider. SLA depends on the requirements gathered by the cloud providers and they vary with the type of organizations for which process is being performed such as education, retail, IT industry etc. SLAs for cloud computing involves technical as well as business requirements which makes the gathering of requirements from stakeholders point of view the heterogeneous process. This research work proposes a 360 degree requirement gathering framework, which reduces the complexitiesduring the process of requirement gathering by cloud service providersas well as SLAs more reliant.
Basic Concept of Cloud Computing Deployment and Service Model and SOA are explained in the presentation as per the syllabus of RGPV, BU and MCU for the students of BCA, MCA and B. Tech.
Hadoop, Evolution of Hadoop, Features of HadoopDr Neelesh Jain
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This document discusses different NoSQL databases including Cloud Bigtable, HBase, and DynamoDB. It provides an overview of each database, their key features and advantages. Cloud Bigtable is a massively scalable and low latency database ideal for storing large amounts of structured data. HBase is an open-source distributed column-oriented database built on Hadoop that provides fast random access to big data. DynamoDB is Amazon's fully managed NoSQL database that automatically scales and handles all database operations.
- E-commerce is growing exponentially in developing countries like India, with 40% of internet users using e-commerce sites and 67% of e-commerce occurring on mobile devices.
- E-commerce allows for new opportunities for tax evasion as it reduces the number of tax points and allows businesses to pay taxes to only one state.
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The document discusses cloud analytics, cloud testing, and virtual desktop infrastructure (VDI).
Cloud analytics allows organizations to implement analytics capabilities in the cloud to scale easily as the company grows and removes the burden of on-premise management. Cloud testing verifies cloud functions like redundancy and performance scalability. VDI creates a virtualized desktop environment on remote servers that users can access from any device, bringing benefits like access, security, cost reduction, and device portability.
Understanding P–N Junction Semiconductors: A Beginner’s GuideGS Virdi
Dive into the fundamentals of P–N junctions, the heart of every diode and semiconductor device. In this concise presentation, Dr. G.S. Virdi (Former Chief Scientist, CSIR-CEERI Pilani) covers:
What Is a P–N Junction? Learn how P-type and N-type materials join to create a diode.
Depletion Region & Biasing: See how forward and reverse bias shape the voltage–current behavior.
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CBSE - Grade 8 - Science - Chemistry - Metals and Non Metals - WorksheetSritoma Majumder
Introduction
All the materials around us are made up of elements. These elements can be broadly divided into two major groups:
Metals
Non-Metals
Each group has its own unique physical and chemical properties. Let's understand them one by one.
Physical Properties
1. Appearance
Metals: Shiny (lustrous). Example: gold, silver, copper.
Non-metals: Dull appearance (except iodine, which is shiny).
2. Hardness
Metals: Generally hard. Example: iron.
Non-metals: Usually soft (except diamond, a form of carbon, which is very hard).
3. State
Metals: Mostly solids at room temperature (except mercury, which is a liquid).
Non-metals: Can be solids, liquids, or gases. Example: oxygen (gas), bromine (liquid), sulphur (solid).
4. Malleability
Metals: Can be hammered into thin sheets (malleable).
Non-metals: Not malleable. They break when hammered (brittle).
5. Ductility
Metals: Can be drawn into wires (ductile).
Non-metals: Not ductile.
6. Conductivity
Metals: Good conductors of heat and electricity.
Non-metals: Poor conductors (except graphite, which is a good conductor).
7. Sonorous Nature
Metals: Produce a ringing sound when struck.
Non-metals: Do not produce sound.
Chemical Properties
1. Reaction with Oxygen
Metals react with oxygen to form metal oxides.
These metal oxides are usually basic.
Non-metals react with oxygen to form non-metallic oxides.
These oxides are usually acidic.
2. Reaction with Water
Metals:
Some react vigorously (e.g., sodium).
Some react slowly (e.g., iron).
Some do not react at all (e.g., gold, silver).
Non-metals: Generally do not react with water.
3. Reaction with Acids
Metals react with acids to produce salt and hydrogen gas.
Non-metals: Do not react with acids.
4. Reaction with Bases
Some non-metals react with bases to form salts, but this is rare.
Metals generally do not react with bases directly (except amphoteric metals like aluminum and zinc).
Displacement Reaction
More reactive metals can displace less reactive metals from their salt solutions.
Uses of Metals
Iron: Making machines, tools, and buildings.
Aluminum: Used in aircraft, utensils.
Copper: Electrical wires.
Gold and Silver: Jewelry.
Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
Oxygen: Breathing.
Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
An alloy is a mixture of metals or a metal with a non-metal.
Alloys have improved properties like strength, resistance to rusting.
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This presentation covers the fundamentals of Git and version control in a practical, beginner-friendly way. Learn key commands, the Git data model, commit workflows, and how to collaborate effectively using Git — all explained with visuals, examples, and relatable humor.
Social Problem-Unemployment .pptx notes for Physiotherapy StudentsDrNidhiAgarwal
Unemployment is a major social problem, by which not only rural population have suffered but also urban population are suffered while they are literate having good qualification.The evil consequences like poverty, frustration, revolution
result in crimes and social disorganization. Therefore, it is
necessary that all efforts be made to have maximum.
employment facilities. The Government of India has already
announced that the question of payment of unemployment
allowance cannot be considered in India
How to Subscribe Newsletter From Odoo 18 WebsiteCeline George
Newsletter is a powerful tool that effectively manage the email marketing . It allows us to send professional looking HTML formatted emails. Under the Mailing Lists in Email Marketing we can find all the Newsletter.
*Metamorphosis* is a biological process where an animal undergoes a dramatic transformation from a juvenile or larval stage to a adult stage, often involving significant changes in form and structure. This process is commonly seen in insects, amphibians, and some other animals.
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How to Manage Opening & Closing Controls in Odoo 17 POSCeline George
In Odoo 17 Point of Sale, the opening and closing controls are key for cash management. At the start of a shift, cashiers log in and enter the starting cash amount, marking the beginning of financial tracking. Throughout the shift, every transaction is recorded, creating an audit trail.
How to track Cost and Revenue using Analytic Accounts in odoo Accounting, App...Celine George
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Multi-currency in odoo accounting and Update exchange rates automatically in ...Celine George
Most business transactions use the currencies of several countries for financial operations. For global transactions, multi-currency management is essential for enabling international trade.
K12 Tableau Tuesday - Algebra Equity and Access in Atlanta Public Schoolsdogden2
Algebra 1 is often described as a “gateway” class, a pivotal moment that can shape the rest of a student’s K–12 education. Early access is key: successfully completing Algebra 1 in middle school allows students to complete advanced math and science coursework in high school, which research shows lead to higher wages and lower rates of unemployment in adulthood.
Learn how The Atlanta Public Schools is using their data to create a more equitable enrollment in middle school Algebra classes.
Presentation on Tourism Product Development By Md Shaifullar RabbiMd Shaifullar Rabbi
Service level agreement in cloud computing an overview
1. Dr Neelesh Jain
Professor
Sagar Institute of Research
Technology & Science
Follow me: Youtube/FB : DrNeeleshjain
Service Level Agreement in Cloud
Computing: An Overview
2. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
Introduction:
Cloud computing is an internet based computing, providing the on demand self
services over the internet for the use of servers, storage space or disk, different
platforms and applications to any cloud user. The cloud computing services are `Pay
as per your usage' based on the agreement between the Cloud Service Provider and
Cloud customer. Service Level Agreement (SLA) is a contract between service
provider and the third party such as Cloud user or Broker(agent), where service
conditions are formally or legally defined. Oftenly Service Level Agreement(SLA) is
used to define the terms of the delivery period of the service, and the different
performance parameters of service to be provided by the provider.
3. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
Benefits of Cloud Computing
Cloud Computing has numerous advantages. Some of them are listed below -
● One can access applications as utilities, over the Internet.
● One can manipulate and configure the applications online at any time.
● It does not require to install a software to access or manipulate cloud application.
● Cloud Computing offers online development and deployment tools, programming
runtime environment through PaaS model.
● Cloud resources are available over the network in a manner that provide platform
independent access to any type of clients.
● Cloud Computing offers on-demand self-service. The resources can be used
without interaction with cloud service provider.
● Cloud Computing is highly cost effective because it operates at high efficiency with
optimum utilization. It just requires an Internet connection
● Cloud Computing offers load balancing that makes it more reliable.
4. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
Necessity of Cloud Computing.
● The Availability Of Resources.
● The Flexibility Of Providing The IT Services In Cloud Computing.
● The Ability Of Refreshing An Aging Infrastructure With Less Price.
● Economically Supporting For New IT Services And Many User.
● Freeing The Staff Members And To Be Engaged In Other Projects.
5. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
Importance of SLA
● The consumer can get the information about the service providers.
● SLA describes the complete information about the service and the type of services (SaaS,
PaaS, IaaS) that are provided to a particular consumer.
● SLA describes the purpose and objectives based on business level policies, which includes
the part of the service provider and the customer.
● The consumers will be able to identify the key security and management strategies of
agreement.
● SLA is used to monitor the quality of service, performance, response time from the service
point of view.
● The consumer can get the idea about the requirements for the management of the service
in case of poor performance.
6. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
Service level agreements in Cloud computing
A Service Level Agreement (SLA) is the bond for performance negotiated between
the cloud services provider and the client. Earlier, in cloud computing all Service Level
Agreements were negotiated between a client and the service consumer. Nowadays,
with the initiation of large utility-like cloud computing providers, most Service Level
Agreements are standardized until a client becomes a large consumer of cloud
services. Service level agreements are also defined at different levels which are
mentioned below:
● Customer-based SLA
● Service-based SLA
● Multi level SLA
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TYPES OF SLA
Service-level agreement provides a framework within which both seller and buyer
of a service can pursue a profitable service business relationship. It outlines the
broad understanding between the service provider and the serviceconsumer for
conducting business and forms the basis for maintaining a mutually beneficial
relationship. From a legal perspective, the necessary terms and conditions that
bind the service provider to provide services continually to the service consumer
are formally defined in SLA.
There are two types of SLAs from the perspective of application hosting.
1. Infrastructure SLA
2. Application SLA
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KEY COMPONENT OF SERVICE-LEVEL AGREEMENT
9. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
TYPES OF SLA
There are two types of SLAs from the perspective of application
hosting.
1. Infrastructure SLA
2. Application SLA
Infrastructure SLA.
The infrastructure provider manages and offers guarantees on
availability of the infrastructure, namely, server machine,
power,network connectivity, and so on. Enterprises manage
themselves, their applications that are deployed on these server
machines. The machines are leased to the customers and are isolated
from machines of other customers.
10. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
TYPES OF SLA
Infrastructure SLA: Key Contractual Elements of an Infrastructural SLA
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TYPES OF SLA
Application SLA.
In the application co-location hosting model, the server
capacity is available to the applications based saolely on their
resource demands.Hence, the service providers are flexible in
allocating and de-allocating computing resources among the
co-located applications. Therefore, the service providers are
also responsible for ensuring to meet their customer’s
application SLOs. For example, an enterprise can have the
following application SLA with a service provider for one of its
application, as shown in Table
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TYPES OF SLA
Application SLA: Key Contractual Elements of an Infrastructural SLA
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LIFE CYCLE OF SLA
Each SLA goes through a sequence of steps starting from
identification of terms and conditions, activation and monitoring of
the stated terms and conditions, and eventual termination of
contract once the hosting relationship ceases to exist. Such a
sequence of steps is called SLA life cycle and consists of the
following five phases:
1. Contract definition
2. Publishing and discovery
3. Negotiation
4. Operationalization
5. De-commissioning
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Literature Review
LinIin et al [l] mentioned the four main goals with respect to SLA -
Oriented Utility Computing i.e. The Customer driven management
of service support, identifying computational risk, suitable
strategies for managing the resources and computation
management of risk.
Yun et al[3] discussed the profit oriented issues and weak point in
traditional technologies.
Slavatore et al[5] presented that applications should act in support
of their users and should be able to make the available cloud
services in SLA negotiation and management.
15. Dr. Neelesh Jain 8770193851 Follow me: Youtube/FB : DrNeeleshjain
Literature Review
Rajkumar et al[7] discussed the hierarchical scheduling, and
the need of job prioritization.
Sherif et al[8] presented that in the fast growing and unpredictable
environments, the approaches are based on capacity planning and
workload forecasting techniques, that are in challenging conditions.
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Issues and Challenges
1. Computation management of risk to maintain the allocation of
resources based on SLA [1].
2. Applications should act in care of their customers and should
be capable to make the accessible cloud services in SLA
negotiation [5].
3. User waiting in the queue for a long period to avail service [7].
4. Performance of the service affected because of peak level of
workload. The customers will not be satisfied because of poor
performance and the income will be affected [8].
5. Service cost related problems [8].
6. Not providing the specified amount of resources [21]
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Conclusion and Future Enhancement
SLA is a legal, formal and negotiated document that defines the
service in terms of quantitative and qualitative metrics. The metrics
which is involved in SLA should be proficient of being measured on a
consistent basis, and the SLA should be evaluated by that metrics.
SLA plays a role in the life cycle of the service. SLA cannot
guarantee that the consumer can access the service as described in
the SLA document. In future our work is focused on developing a
approach to certify that the service is provided according the
specified level of quality which is mentioned in the SLA.