Module -1.pptx on cloud computing and analyt

MODULE – 1
Introduction to Cloud services
2

• Course Handout Discussion
• Introduction to cloud services
• Evolution of cloud computing
• Computing Platforms and Technologies
• Cloud Computing Architecture
• IaaS, PaaS, SaaS
• Types of Clouds
• Cloud Computing Environments
3
Contents

Basic services
•Water
•Electricity

Computing
• Computing is being transformed into a model consisting of
services that are commoditized and delivered in a manner
similar to utilities such as water, electricity, gas, and
telephony.

• Cloud computing - turn the vision of “computing utilities "in to a reality.
• computer utilities’
- like electric and telephone utilities
- will service individual homes and offices across the country

Example of cloud computation
• Users (consumers) need to pay providers only when they access the
computing services.
• consumers
- no longer need to invest heavily
- encounter difficulties in building and maintaining complex IT
infrastructure.

Cloud Computing
• Users access services based on their requirements without regard to
where the services are hosted.
• This model has been referred to as utility computing or, (since 2007),
as cloud computing.

Cloud computing
• Cloud computing allows
- renting infrastructure,
- runtime environments-IDE
- and services on a pay- per-use basis.
• This principle provides-several practical applications and then gives
different images of cloud computing to different people.

Cloud computing
One of the most diffuse views of cloud computing can be summarized as
follows:
I don’t care where my servers are, who manages them, where my documents
are stored, or where my applications are hosted.
 I just want them always available and access them from any device
connected through Internet.
And I am willing to pay for this service for as a long as I need it.
The concept expressed above has strong similarities to the way we use other
services, such as water and electricity.

cloud computing
cloud computing turns IT services into utilities.
a delivery model is made possible by the effective composition of
several technologies
Web 2.0 technologies plays a central role in making cloud computing
an attractive opportunity for building computing systems.

• Service orientation allows cloud computing
- to deliver its capabilities with familiar abstractions.
• virtualization allows cloud computing
- provides the necessary degree of customization, - control, and
flexibility for building production and enterprise systems.

Massive transformation – from networks to cloud
• Computing services readily available on demand, just as other utility
services
• Pay providers only when you access the computing services
• Consumers no longer need to invest heavily - building and
maintaining complex IT infrastructure

What is
cloud
computing?
• Paradigm for the dynamic provisioning
of computing services
• supported by state-of-the-art data
centers
• employing virtualization
technologies for consolidation and
effective utilization of resources
• Cloud computing allows renting
infrastructure, runtime environments,
and services on a pay-per-use basis

Cloud – one point of view
• I don’t care
where my servers are,
who manages them,
where my documents are stored,
where my applications are hosted
• I just want them
• always available and access them from any device connected
through Internet
• And I am willing to pay for this service for as a long as I need it

Cloud –
Composition of
several
technologies
Web 2.0 technologies - transformed the
Internet into a rich application and service
delivery platform
Service orientation - to deliver its
capabilities with familiar abstractions
Virtualization - necessary degree of
customization, control, and flexibility for
building production and enterprise systems

Why is cloud popular?
1. Flexibility: If businesses bandwidth requirements or running costs tend to fluctuate, using cloud services makes
perfect sense. Cloud computing offers various pre-built platforms and services and also allows you to develop
customized solutions as per your specific needs. It enables you to upgrade your services in line with your needs.
Anytime you can scale up and scale down your cloud capacity depending on your requirement. There is no need to
pay extra money for the services you are not using on the cloud.
2. Ensures Security: While working on a project if your laptop or hard drive get lost then it can cost a billion dollar of
businesses and you can’t imagine the loss if it goes in the Well, keeping your data locally on a computer is always a
risk and big issue for companies and individuals. The cost of losing your sensitive or private data is bigger than the
loss of your kit or physical equipment. Cloud computing solves this problem and provides top-notch data security. If
you lose your mobile device or laptop or if your computer system is attacked by viruses and worms you can still access
everything you have on the cloud using another machine or device. You can also wipe data from lost laptops remotely
so it doesn’t get into the wrong hands.
3. Maintains Productivity: Cloud computing allows team members to work on the same document in real-time. It
becomes convenient and easier for team members to edit, share, and access the document or data anytime and from
anywhere. There is no need to spend time updating, filling, and printing documents. Cloud services provide a better
workflow and file sharing apps that help team members to make updates in real-time and give them full visibility of their
collaborations. It requires less energy and effort that eventually maintains the productivity of the business. In nutshell,
the technology eliminates the need for a back-and-forth exchange of documents.

Why is cloud popular?
4. Cost Savings and No Maintenance: Companies spend a lot of money on purchasing hardware, buying software
licenses, maintaining, updating, distributing, and shredding paper copies. When you use cloud services it cuts out all
these expenses. It eliminates the cost and complexity of owning and operating computers and networks. As we have
mentioned that cloud services cost is customizable and you only pay as you go. You pay for the services you are usin
on the cloud also you don’t have to worry about maintaining your system. Cloud service providers take care of your
information rolling out regular software updates – including security updates. Instead of buying the capital alone and
bearing all the costs, this is much easier and convenient for organizations.
5. Work From Anywhere: It doesn’t matter where you are sitting in the world, cloud service allows you to access the
data anywhere, anytime. You don’t need to carry your USB or laptop in different places, you just need the internet
connection to get access to your data on the cloud. Some cloud services also offer mobile apps, so you are not
restricted to use any specific device. This gives more flexibility and convenience to the employees along with running
the business operations smoothly.

Vision of
Cloud
• Anyone with a credit card can provision virtual
hardware, runtime environments, and services
• Used as needed, with no up-front
commitments
• The entire stack of a computing system is
transformed into a collection of utilities
• composed together to deploy systems in
hours and with virtually no maintenance costs

Future –
Global cloud
marketplace
Give your needs – automation of discovery
process and integration of the cloud services
Service providers – increase their revenue
Reduces the barriers between service consumers
and providers
Standards
Optimize datacenter facilities – greener computing

Defining a Cloud
• Refers to both the applications delivered as services over the Internet
and the hardware and system software in the datacenters that
provide those services.
• A model for enabling ubiquitous, convenient, on-demand network
access to a shared pool of configurable computing resources (e.g.,
networks, servers, storage, applications, and services) that can be
rapidly provisioned and released with minimal management effort or
service provider interaction.

Criteria for a cloud service
The service is accessible via
a Web browser
(nonproprietary) or a Web
services application
programming interface
(API)
Zero capital expenditure is
necessary to get started
You pay only for what you
use as you use it

Definition (Buyya – utility-oriented)
• A cloud is a type of parallel and distributed system
• consisting of a collection of interconnected and virtualized computers
• that are dynamically provisioned
• and presented as one or more unified computing resources
• based on service-level agreements
• established through negotiation between the service provider and consumers

What do we get from Cloud?
Large enterprises can offload some
of their activities
Small enterprises / start-
ups translate their ideas into
business results more quickly,
without excessive up-front costs
System developers can concentrate
on the business logic rather than
dealing with the complexity of
infrastructure management and
scalability
End users can have their
documents accessible from
everywhere and any device
IT Services on Demand

A bird’s-eye view of cloud computing

5 Core
Technologies
Distributed
systems
Virtualization Web 2.0
Service oriented
computing
Utility-oriented
computing

1. Distributed
systems
• A distributed system is a collection of independent
computers that appears to its users as a single
coherent system.

Evolution of Distributed Computing

Major milestones
Mainframe
computing
Cluster
computing
Grid
computing

Mainframes
• Smaller than a super computer
• Large computational facilities leveraging
multiple processing units
• Powerful, highly reliable computers
specialized for large data movement and
massive input/output (I/O) operations.
USE:
• online transactions
• enterprise resource planning
• huge data processing

Mainframes – good and bad
Good Scalability
Good memory storage
Highly reliable
Transparent fault tolerance
No interruption while replacing
faulty components
Can run multiple OS
• High cost
• Difficult installation
• Huge physical size
• Environmental issues

Cluster Computing
• Early 1980s
• Low-cost alternative to mainframes and supercomputers
• Increased availability of cheap commodity machines
• Connected by a high-bandwidth network and controlled by specific
software tools that manage them as a single system
• 1980s - clusters - standard technology for parallel and high-
performance computing
• Could run programs which once required mainframes

Cluster Computing
• Collection of tightly or loosely
connected computers (nodes)
that work together so that they
act as a single entity
(transparency)
• solve complicated problems
• faster computational speed
• enhanced data integrity
• expandability

Grid Computing
• Early 1990s
• Analogy to the power grid – consume resources
• Aggregate geographically dispersed clusters
• By means of Internet connections
• These clusters belonged to different organizations
• Arrangements were made among them to share the computational power
• Different from a “large cluster”
Computing grid - dynamic aggregation of heterogeneous
computing nodes, and its scale was nationwide or even worldwide

Why Grid Computing ?
(a) clusters became quite
common resources
(b) they were often
underutilized
(c) new problems were
requiring computational
power that went beyond the
capability of single clusters
(d) the improvements in
networking and the Internet
made possible long-distance,
high-bandwidth connectivity

Module -1.pptx on cloud computing and analyt

2. Virtualization
• Allows creation of different
computing environments
• These environments are called
virtual because they simulate
the interface that is expected by
a guest
• e.g. Hardware virtualization
• Enables cloud computing solutions
to deliver virtual servers on
demand, such as Amazon EC2,
RightScale, VMware vCloud

2. Virtualization (Contd.)
• Definition
• Collection of solutions allowing the abstraction of some of the
fundamental elements for computing
• Hardware, runtime environments, storage, and networking

3. Web 2.0
• Refers to websites that have user-
generated content, ease of use,
participatory culture and
interoperability for end users
• A collection of standards and
technologies such as
XML, Asynchronous JavaScript and
XML (AJAX), Web Services, and
others
• brings interactivity and
flexibility into Web pages
• providing enhanced user
experience

5. Utility-oriented computing
• is a service provisioning model
• providing computing as a utility like natural gas, water, power, and
telephone connection
• computing resources are provided to the customer based on specific
demand
• Examples of such IT services are computing power, storage or
applications.

Cloud Computing SERVICE Reference Model
Runtime Environment for Applications
Development and Data Processing Platforms
Examples: Windows Azure, Hadoop, Google AppEngine, Aneka
Platform as a Service
Virtualized Servers
Storage and Networking
Examples: Amazon EC2, S3, Rightscale, vCloud
S3: Amazon Simple Storage Service
Infrastructure as a Service
End user applications
Scientific applications
Office automation, Photo editing,
CRM, and Social Networking
Examples: Google Documents, Facebook, Flickr, Salesforce
Software as a Service
Web 3.0
Interfaces

Basic Structure of Cloud Computing

Concept of a “Service” in Cloud Computing
In the Cloud scenario, the provider Organization (Microsoft, Oracle,
Amazon, Google) offers the following commodities as services:
1. Infrastructure (Hardware) -> Storage, Servers, Networking
components
2. Platform to run applications -> Runtimes (JRE, CLR), Operating
Systems (Windows, Linux), Databases (MySQL, Oracle)
3. Applications -> Gmail, Facebook, CRM, etc.
All these services are offered through Web APIs (Application
Programming Interfaces)
Ex: Office 365 suite of applications, Google Drive suite of applications

Types of Services available in cloud computing
• IaaS --- Infrastructure as a Service --- server, memory, CPU processor,
storage space, network components, disk space, hard disk
• PaaS---Platform as a Service --- Provides run time environment for
developers – visual studio, IDE, WORD , OPERATING SYSTEM,
VMWARE
• SaaS – Software as a Service- ALL TYPE OF APPLICATION –
FACEBOOK, GMAIL. Google drive, google document,etc
• Stack of cloud computing --- arrangement of services
• SaaS
• PaaS
• IaaS

IaaS
• IaaS allows the cloud provider to freely locate the infrastructure over
the Internet in a cost-effective manner. Some of the key benefits of
IaaS are listed below:
• Full control of the computing resources through administrative access
to VMs.
• Flexible and efficient renting of computer hardware.
• Portability, interoperability with legacy applications
Mr. R C Ravindranath, Asst. Prof, SOE-CSE 56

Characteristics of IaaS
- Virtual machines with pre-installed software.
- Virtual machines with pre-installed operating systems such as
Windows, Linux, and Solaris.
- On-demand availability of resources.
- Allows to store copies of particular data at different locations.
- The computing resources can be easily scaled up and down.

IaaS- Advantages and Disadvantages
• Advantages of IaaS:
Cost Saving, On-demand scalability, Have the
Flexibility You Need, Focus on business growth,
• Disadvantages of IaaS:
Security, Lack of flexibility, Over Dependency,Compatibility with
legacy security vulnerabilities, Virtual Machine sprawl

PaaS
• Platform-as-a-Service offers the runtime environment for
applications.
• It also offers development and deployment tools required to develop
applications.
• PaaS has a feature of point-and-click tools that enables non-
developers to create web applications.
• Developer may log on to these websites and use the built-in API to
create web-based applications.

PaaS- Advantages
Time Savings: No need to spend time setting
up/maintaining the core stack.
Speed to Market: Speed up the creation of apps.
Increase Security: PaaS providers invest heavily in
security technology and expertise.
More current system software

PaaS- Disadvantages
Security: All the data of applications are stored inside the provider's
cloud database.
Control: Users lack some control over a PaaS solution.
Reliability: PaaS solutions often face reliability concerns.
Lack of portability among PaaS clouds

SaaS
• Software-as–a-Service (SaaS) model allows to provide software
application as a service to the end users. It refers to a software that is
deployed on a host service and is accessible via Internet. There are
several SaaS applications listed below:
• Billing and invoicing system
• Customer Relationship Management (CRM) applications
• Help desk applications
• Human Resource (HR) solutions

SaaS- Advantages
Operational Management: No installation, equipment updates or traditional licensing
management.
Cost-Effective: There are no upfront hardware costs and flexible payment methods
such as pay-as-you-go models.
Scalability: Easily scale a solution to accommodate changing needs.
Data Storage: Data is routinely saved in the cloud.
Modest software tools

SaaS- Disadvantages
• Disadvantages of SaaS:
Loss of Control: The vendor manages everything, making you dependent upon the
vendor's capabilities.
Limited Customization: Most SaaS applications offer little in the way of
customization from the vendor.
Slower Speed: SaaS solutions can have more latency than client/server apps.

Cloud Deployment Models
• Public Cloud
• Private Cloud
• Community Cloud
• Hybrid cloud

Public Cloud
Public cloud is open to all to store and access information via the
Internet using the pay-per-usage method.
In public cloud, computing resources are managed and operated by the
Cloud Service Provider (CSP).
Example: Amazon elastic compute cloud (EC2), IBM SmartCloud
Enterprise, Microsoft, Google App Engine, Windows Azure Services
Platform.

Advantages:
- Public cloud is owned at a lower cost than the private and hybrid
cloud.
- maintained by the cloud service provider, so do not need to worry
about the maintenance.
- location independent because its services are delivered through the
internet.
- highly scalable as per the requirement of computing resources.
- accessible by the general public, so there is no limit to the number
of users.

Disadvantages:
- Public Cloud is less secure because resources are shared publicly.
- Performance depends upon the high-speed internet network link to
the cloud provider.
- The Client has no control of data.

Private Cloud
- Private cloud is also known as an internal cloud or corporate cloud.
It is used by organizations to build and manage their own data
centers internally or by the third party.
- It can be deployed using Opensource tools such as Openstack and
Eucalyptus.

Advantages
• Private cloud provides a high level of security and privacy to the
users.
• better performance with improved speed and space capacity.
• allows the IT team to quickly allocate and deliver on-demand IT
resources.
• The organization has full control over the cloud because it is managed
by the organization itself. So, there is no need for the organization to
depends on anybody.
• It is suitable for organizations that require a separate cloud for their
personal use and data security is the first priority.
72

Disadvantages
• Skilled people are required to manage and operate cloud services.
• Private cloud is accessible within the organization, so the area of
operations is limited.
• Private cloud is not suitable for organizations that have a high user
base, and organizations that do not have the prebuilt infrastructure,
sufficient manpower to maintain and manage the cloud
73

Cloud Deployment Models – Contd.
3. Hybrid Clouds= public + private
• Whenever private cloud resources are unable to meet users’ quality-of-
service requirements, hybrid computing systems, partially composed of public
cloud resources and privately owned infrastructures, are created to serve the
organization’s needs

Advantages
• Hybrid cloud is suitable for organizations that require more security
than the public cloud.
• Hybrid cloud helps you to deliver new products and services more
quickly.
• Hybrid cloud provides an excellent way to reduce the risk.
• Hybrid cloud offers flexible resources because of the public cloud and
secure resources because of the private cloud.
75

Disadvantages
• In Hybrid Cloud, security feature is not as good as the private cloud.
• Managing a hybrid cloud is complex because it is difficult to manage
more than one type of deployment model.
• In the hybrid cloud, the reliability of the services depends on cloud
service providers.
76

Community Cloud
• Community cloud allows systems and services to be accessible by a
group of several organizations to share the information between the
organization and a specific community.
• It is owned, managed, and operated by one or more organizations in
the community, a third party, or a combination of them.
• e.g.- Healthcare community cloud
77

Advantages
• Community cloud is cost-effective because the whole cloud is being
shared by several organizations or communities.
• Community cloud is suitable for organizations that want to have a
collaborative cloud with more security features than the public cloud.
• It provides better security than the public cloud.
• It provides collaborative and distributive environment.
• Community cloud allows us to share cloud resources, infrastructure,
and other capabilities among various organizations.
78

Disadvantages
• Community cloud is not a good choice for every organization.
• Security features are not as good as the private cloud.
• It is not suitable if there is no collaboration.
• The fixed amount of data storage and bandwidth is shared among all
community members.
79

Major deployment models for cloud computing

Characteristics and benefits of Cloud
• No up-front commitments
• On-demand access
• Nice pricing
• Simplified application acceleration and scalability
• Efficient resource allocation
• Energy efficiency
• Seamless creation and use of third-party services

Cloud computing - challenges
• Technical
• Security
• Legal

What sort of applications benefit from cloud?
• Dynamically scale on demand
• Classes of applications
1. Web applications
• Performance depends on workload generated by varying user demand
• Rich, complex and interactive

What sort of applications benefit from cloud?
2. Resource-intensive applications
• Data-intensive or compute-intensive applications
• Resources are required to complete execution in a reasonable timeframe
• But not required for a long duration
• Not interactive, only batch processing
• e.g. scientific applications

On-demand and dynamic scaling solution
• How?
(a) providing methods for renting compute power, storage, and
networking
(b) offering runtime environments designed for scalability and
dynamic sizing
(c) providing application services that mimic the behavior of desktop
applications but that are completely hosted and managed on the provider
side
• Service orientation
 allows a simple and seamless integration into existing systems
• Developers access such services via simple Web interfaces

Computing platforms and
technologies

How to develop cloud applications?
• Leverage
• Platforms
• Technologies
• Frameworks
Amazon web services (AWS)
Google AppEngine
Microsoft Azure
Hadoop
Force.com and Salesforce.com
Manjrasoft Aneka

• IaaS
• Platform that offers flexible,
reliable, scalable, easy-to-use
and, cost-effective cloud
computing solutions
• compute and storage-on-
demand services
• Elastic Compute Cloud (EC2) and
Simple Storage Service (S3)

• Elastic Compute Cloud (EC2)
• Customizable virtual hardware
• EC2 instances are deployed either by using
• AWS console, which is a comprehensive
Web portal for accessing AWS services
• Web services API available for several
programming languages
• Simple Storage Service (S3)
• Delivers persistent storage on demand
• S3 is organized into buckets; these are
containers of objects that are stored in binary
form and can be enriched with attributes
• Users can store objects of any size, from
simple files to entire disk images, and have
them accessible from everywhere

Google App Engine (GAE)
• PaaS
• Build highly scalable applications
on a fully managed serverless
platform
• Large computing infrastructure of
Google to dynamically scale

Google AppEngine
• Services include in-memory caching, scalable data store, job queues, messaging,
and cron tasks
• GAE requires that applications be written in Java or Python, store data in
Google Bigtable and use the Google query language.
• IaaS similar to EC2
• Google provides GAE free up to a certain amount of use for the following
resources:
• processor storage
• API calls
• concurrent requests

Microsoft Azure
• Provides a scalable runtime
environment for Web
applications and distributed
applications

Microsoft Azure
• Applications in Azure are organized
around the concept of roles, which
identify a distribution unit for
applications and embody the
application’s logic
• Three types of role: Web role, worker
role, and virtual machine role
• Web role is designed to host a
Web application
• Worker role is a more
generic container of applications
and can be used to perform
workload processing
• Virtual machine role provides a
virtual environment in which the
computing stack can be
fully customized, including the
operating systems

Hadoop
• Apache Hadoop is an open-source
framework
• that is suited for processing large data
sets on commodity hardware
• Hadoop is an integral part of the
Yahoo! cloud infrastructure
• Hadoop is an implementation of Map
Reduce, an application programming
model developed by Google
• which provides two fundamental
operations for data processing:
map and reduce
• Map - transforms and
synthesizes the input data
provided by the user
• Reduce - aggregates the output
obtained by the map operations
• Hadoop provides the runtime
environment
• Developers need only provide
the input data and specify the
map and reduce functions that
need to be executed

Force.com and Salesforce.com
• Force.com is a cloud computing platform for developing social enterprise
applications
• complete set of components supporting all the activities of an enterprise
• provides complete support for developing applications - design of the data layout to the
definition of business rules and workflows and the definition of the user interface
• The platform is the basis for SalesForce.com, a Software-as-a-Service solution for
customer relationship management

Manjrasoft Aneka
• Cloud application platform for rapid creation of scalable applications
• Supports a collection of programming abstractions for developing applications
and a distributed runtime environment that can be deployed on heterogeneous
hardware (clusters, networked desktop computers, and cloud resources)
• Applications are executed on the distributed service-oriented runtime
environment, which can dynamically integrate additional resource on demand
• Services manage most of the activities happening at runtime: scheduling,
execution, accounting, billing, storage, and quality of service

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