IEEE P1931.1 is an upcoming IEEE standard that defines an architectural framework, protocols and Application Programming Interfaces (APIs) for providing Real-time Onsite Operations Facilitation (ROOF). ROOF computing and networking for the data and the devices include next-hop connectivity for the devices, real-time context building and decision triggers, efficient backhaul connectivity to the cloud, and security & privacy.
IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.
Buildings are the largest contributor to
global carbon emissions, accounting
for about 40 percent of the world’s
total carbon footprint. Read this white paper to find out how how building owners, operators and occupants can achieve
significant energy and cost savings through the use of smart building solutions.
Multiple protocols have been positioned as “the” application-layer messaging protocol for the Internet of Things (IoT) and Machine-to-Machine (M2M) communication. In fact, these protocols address different aspects of IoT messaging and are complementary more than competitive (other than for mindshare). This presentation compares two of these protocols, MQTT and DDS, and shows how they are designed and optimized for different communication requirements.
An IoT gateway bridges communication between devices, sensors, systems and the cloud. It offers local processing and storage, and can autonomously control devices based on sensor data. IoT gateways aggregate, process and filter data for secure transmission from the edge to the cloud. They bridge different sensing domain protocols with network domain protocols through protocol conversion and multi-interface connectivity to various wireless standards. Common features of IoT gateways include supporting multiple interfaces, protocol conversion, manageability, and acting as a bridge between sensing and network domains.
Ultimate list of 50 Best IoT platforms of 2019ThingsCloud
IoT has become a key driver of industrial growth in recent time. Along with that quite a lot of IoT platforms is coming in the market place. This is the comprehensive list of IoT Platforms we have classified IoT Platforms into
1. SaaS IoT Platforms
2. Open-Source IoT Platforms
3. Enterprise IoT Platforms
4. Self-Service IoT Platforms
This is a must read presentation for Developers, Students or anyone who is interested in IoT
The legacy of industrial based networks is now evolving into the data infrastructure layer of the, 'Internet Of Things. With billions of devices about to be connected to the internet, there are signs of a convergence. A convergence between industrial and consumer, physical and virtual, man and machine. Everyday activities in the real world will have the potential to be augmented, improved and integrated into our digital lives by means of a smooth, flawless user experience. Welcome to the Internet Of Things.
Iot: Introduction ,architecture ,application especially engineering ,software,hardware,protocols and challenges
nodered software code for Iot simulation
Internet of Things(IoT) Applications | IoT Tutorial for Beginners | IoT Train...Edureka!
*** IoT Certification Training: https://www.edureka.co/iot-certificat... ***
This Edureka tutorial on "IoT Applications" takes you through the 6 domains which IoT has reinvented, namely,
1. IoT in Everyday LIfe
2. IoT in Healthcare
3. IoT in Smart Cities
4. IoT in Agriculture
5. IoT in Industrial Automation
6. IoT in Disaster Management
Know real-time examples of IoT applications in the most interesting use cases of today's world. Understand how they work and how can IoT be used to its complete potential.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
01 IoT Development History and Overview.pptxbrian459388
The document provides an overview of the history and development of IoT, including key events and concepts. It discusses the origins of IoT in 1991 with the Trojan Room coffee pot and the development of concepts and standards over time. It also outlines the layers of the IoT architecture including sensing, network, platform and application layers. Finally, it introduces Huawei's 1+2+1 IoT solution architecture and components like NB-IoT, LiteOS, gateways and the IoT platform.
Best Practices for Killer Data VisualizationQualtrics
There’s something special about simple, powerful visualizations that tell a story. In fact, 65% of people are visual learners.
Join Qualtrics and Sasha Pasulka from Tableau as we illuminate the world of data visualization and give you clear takeaways to help you tell a better story with data. Getting executive buy-in or that seat at the table may come down to who can visualize data in a way that excites and enlightens the audience.
This document outlines a syllabus for a course on Internet of Things technology. It discusses several topics that will be covered in Module 4 on data and analytics for IoT, including an introduction to data analytics for IoT, structured versus unstructured data, data in motion versus data at rest, and an overview of descriptive, diagnostic, predictive, and prescriptive analytics. Specific techniques that will be examined include machine learning, big data analytics tools, edge streaming analytics, and network analytics. Examples are provided for each topic to illustrate key concepts relating to analyzing large amounts of IoT sensor data.
Cloud Computing System models for Distributed and cloud computing & Performan...hrmalik20
Advantage of Clouds over Traditional
Distributed Systems,Clouds,Service-Oriented Architecture (SOA) Layered Architecture,Performance Metrics and Scalability Analysis,System Efficiency,Performance Challenges in Cloud Computing,What is cloud computing and why is it distinctive?,CLOUD SERVICE DELIVERY MODELS AND THEIR
PERFORMANCE CHALLENGES,Cloud computing security,What does Cloud Computing Security mean,Cloud Security Landscape,Distinctions between Security and Privacy,Energy Efficiency of Cloud Computing,How energy-efficient is cloud computing?
This document provides an introduction to IoT including: defining IoT as connecting physical items to the internet via sensors to collect and communicate data; discussing how IoT can benefit businesses through optimizing workflows and lowering costs; and describing common IoT devices and technologies like Arduino, Raspberry Pi, Intel Edison, Bluetooth LE, WiFi and distributed computing networks. The next session will focus on setting up the Raspberry Pi with an OS, using it for development, running Java programs, and controlling GPIO pins.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
NVIDIA's Jetson platform provides an AI computing solution for applications at the edge by running deep neural networks on low-power modules like the Jetson TX1. The Jetson TX1 module has powerful GPU processing capable of over 1 teraflop/s while consuming under 10 watts, making it suitable for applications in areas like industrial automation, robotics, smart cities, and more. Developers can use the Jetpack SDK and resources like the Deep Learning Institute to train models on servers and deploy them to Jetson modules for running AI inference in end products at the edge.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
What is cloud computing?
Advantages of cloud computing.
Disadvantages of cloud computing.
Mainly Four Deployment Models.
What is private cloud?
DRAWBACK
Two models for cloud services can be delivered in a private cloud.
Cloud Computing Service Models.
The document discusses different element management systems (EMS) used to manage network elements. It describes what an EMS is and its key functions like service provisioning, assurance, operations support, and automation. It then summarizes Nortel and Redback Networks' EMS architectures, features, and capabilities. Nortel's EMS focuses on managing VoIP media gateways while Redback's provides fault management, service provisioning, inventory management, and real-time statistics through an intuitive GUI. Both EMS systems are designed to scale with network growth and complexity.
Para maiores detalhes:
http://condemalagueta.wordpress.com/
Twitter --> @ Nuno_Alves
Email --> [email protected]
Site da LCS - www.lcs.com.br
Internet of Things on Azure in Global Azure Bootcamp 2016 - Chennai. Session covered with Live Demo on Azure IoThub, stream Analytics, storage table and Power BI.
The document discusses the evolution and future of the Internet of Things (IoT). It describes the major eras in the development of the internet from the Internet of Boffins in the 1960s-70s to the modern Internet of Things. It explains how IoT works by connecting devices to collect and share data using embedded sensors. The document outlines the current status and future prospects of IoT, some of its applications, and technological challenges like security, interoperability and power supply. It concludes by stating that the potential of IoT is limited only by imagination.
Iot: Introduction ,architecture ,application especially engineering ,software,hardware,protocols and challenges
nodered software code for Iot simulation
Internet of Things(IoT) Applications | IoT Tutorial for Beginners | IoT Train...Edureka!
*** IoT Certification Training: https://www.edureka.co/iot-certificat... ***
This Edureka tutorial on "IoT Applications" takes you through the 6 domains which IoT has reinvented, namely,
1. IoT in Everyday LIfe
2. IoT in Healthcare
3. IoT in Smart Cities
4. IoT in Agriculture
5. IoT in Industrial Automation
6. IoT in Disaster Management
Know real-time examples of IoT applications in the most interesting use cases of today's world. Understand how they work and how can IoT be used to its complete potential.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
01 IoT Development History and Overview.pptxbrian459388
The document provides an overview of the history and development of IoT, including key events and concepts. It discusses the origins of IoT in 1991 with the Trojan Room coffee pot and the development of concepts and standards over time. It also outlines the layers of the IoT architecture including sensing, network, platform and application layers. Finally, it introduces Huawei's 1+2+1 IoT solution architecture and components like NB-IoT, LiteOS, gateways and the IoT platform.
Best Practices for Killer Data VisualizationQualtrics
There’s something special about simple, powerful visualizations that tell a story. In fact, 65% of people are visual learners.
Join Qualtrics and Sasha Pasulka from Tableau as we illuminate the world of data visualization and give you clear takeaways to help you tell a better story with data. Getting executive buy-in or that seat at the table may come down to who can visualize data in a way that excites and enlightens the audience.
This document outlines a syllabus for a course on Internet of Things technology. It discusses several topics that will be covered in Module 4 on data and analytics for IoT, including an introduction to data analytics for IoT, structured versus unstructured data, data in motion versus data at rest, and an overview of descriptive, diagnostic, predictive, and prescriptive analytics. Specific techniques that will be examined include machine learning, big data analytics tools, edge streaming analytics, and network analytics. Examples are provided for each topic to illustrate key concepts relating to analyzing large amounts of IoT sensor data.
Cloud Computing System models for Distributed and cloud computing & Performan...hrmalik20
Advantage of Clouds over Traditional
Distributed Systems,Clouds,Service-Oriented Architecture (SOA) Layered Architecture,Performance Metrics and Scalability Analysis,System Efficiency,Performance Challenges in Cloud Computing,What is cloud computing and why is it distinctive?,CLOUD SERVICE DELIVERY MODELS AND THEIR
PERFORMANCE CHALLENGES,Cloud computing security,What does Cloud Computing Security mean,Cloud Security Landscape,Distinctions between Security and Privacy,Energy Efficiency of Cloud Computing,How energy-efficient is cloud computing?
This document provides an introduction to IoT including: defining IoT as connecting physical items to the internet via sensors to collect and communicate data; discussing how IoT can benefit businesses through optimizing workflows and lowering costs; and describing common IoT devices and technologies like Arduino, Raspberry Pi, Intel Edison, Bluetooth LE, WiFi and distributed computing networks. The next session will focus on setting up the Raspberry Pi with an OS, using it for development, running Java programs, and controlling GPIO pins.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
NVIDIA's Jetson platform provides an AI computing solution for applications at the edge by running deep neural networks on low-power modules like the Jetson TX1. The Jetson TX1 module has powerful GPU processing capable of over 1 teraflop/s while consuming under 10 watts, making it suitable for applications in areas like industrial automation, robotics, smart cities, and more. Developers can use the Jetpack SDK and resources like the Deep Learning Institute to train models on servers and deploy them to Jetson modules for running AI inference in end products at the edge.
Cloud computing provides a way for organizations to share distributed resources over a network. However, data security is a major concern in cloud computing since data is stored remotely. The document discusses several techniques used for data security in cloud computing including authentication, encryption, data masking, and data traceability. The latest technologies discussed are a cloud information gateway that can control data transmission and secure logic migration that transfers applications to an internal sandbox for secure execution.
Cloud Computing
1. Types of Cloud Computing
2. Service model of Clouds
3. Benefits of Cloud Computing
4. Examples of Cloud Computing
5. History of Cloud Computing
6. Disadvantages
What is cloud computing?
Advantages of cloud computing.
Disadvantages of cloud computing.
Mainly Four Deployment Models.
What is private cloud?
DRAWBACK
Two models for cloud services can be delivered in a private cloud.
Cloud Computing Service Models.
The document discusses different element management systems (EMS) used to manage network elements. It describes what an EMS is and its key functions like service provisioning, assurance, operations support, and automation. It then summarizes Nortel and Redback Networks' EMS architectures, features, and capabilities. Nortel's EMS focuses on managing VoIP media gateways while Redback's provides fault management, service provisioning, inventory management, and real-time statistics through an intuitive GUI. Both EMS systems are designed to scale with network growth and complexity.
Para maiores detalhes:
http://condemalagueta.wordpress.com/
Twitter --> @ Nuno_Alves
Email --> [email protected]
Site da LCS - www.lcs.com.br
Internet of Things on Azure in Global Azure Bootcamp 2016 - Chennai. Session covered with Live Demo on Azure IoThub, stream Analytics, storage table and Power BI.
The document discusses the evolution and future of the Internet of Things (IoT). It describes the major eras in the development of the internet from the Internet of Boffins in the 1960s-70s to the modern Internet of Things. It explains how IoT works by connecting devices to collect and share data using embedded sensors. The document outlines the current status and future prospects of IoT, some of its applications, and technological challenges like security, interoperability and power supply. It concludes by stating that the potential of IoT is limited only by imagination.
FogFlow: Cloud-Edge Orchestrator in FIWAREBin Cheng
fog computing framework with agile programming models. It allows IoT service providers to easily design and implement their services, meanwhile automatically launching dynamic data processing flows over cloud and edges in an optimized manner.
INTEROPERABILITY, FLEXIBILITY AND INDUSTRIAL DESIGN REQUIREMENTS IN THE IoTMuhammad Ahad
The document discusses several key requirements for Internet of Things (IoT) systems, including:
1. Interoperability and flexibility are important so that IoT devices can easily connect to different systems and components according to user needs. IoT devices should also be reusable in new contexts.
2. Industrial design focuses on user demands, comfort, functionality, and serviceability.
3. IoT devices need to be able to adapt to different situations and combine wireless technologies to improve connectivity and bandwidth. Standardized interfaces are also important for integration.
4. Managing complexity requires transparency rather than opaque "black box" components. Open source components and business models will become more common.
This document provides an overview of cloud computing concepts and platforms from leading cloud providers like Amazon Web Services, Google App Engine, and Microsoft Azure. It discusses cloud characteristics like on-demand access and elastic scaling. It also covers the three main service models (IaaS, PaaS, SaaS) and four deployment models (public, private, hybrid, community). The document reviews features of each provider's cloud environment and compares their computing, storage, and database offerings. It provides an example cost calculation for storing and accessing data on different cloud platforms.
What is Your Edge From the Cloud to the Edge, Extending Your ReachSUSE
As companies continue to take advantage of the benefits of cloud – increased flexibility, speed of innovation and quickly responding to business demands, it is no wonder that they want to extend these benefits to the edge. But there are still a lot of questions.
Telecom Clouds crossing borders, Chet Golding, Zefflin SystemsSriram Subramanian
This document discusses how OpenStack can help telecom companies transform by enabling cross-border communication and applications. The author argues that with over 6.8 billion cellphone users worldwide, telecom networks must support global connectivity and cloud-based applications and services. OpenStack allows telecoms to build public, private and hybrid clouds that can scale enormously while integrating with other technologies. This represents a new era for telecom where they become cloud companies enabling ubiquitous communication and access to data anywhere in the world.
1) The document discusses digital transformation and AI at the edge for industrial applications. It describes challenges like processing vast amounts of distributed data in real-time while ensuring security and reliability with limited resources.
2) Edge computing is important for industrial IoT as it allows data processing and AI inferencing close to where data is generated, improving latency, security, and scalability. The document outlines several open source edge computing projects and technologies being developed.
3) Achieving digital transformation requires bridging gaps between IT and operational systems through approaches like collecting telemetry data, predictive maintenance, and building a data-informed culture across the organization. Standards like OPC UA are also important for interoperability.
Control on Remote Sensing Network using Cloud Computing ServicesIRJET Journal
The document discusses using cloud computing services and ZigBee wireless technology to remotely monitor and control sensing devices over a network. It proposes a system where sensors in a home transmit data to a transmitter via ZigBee, which then sends the data to a receiver and cloud database for remote access and control of devices. The system aims to minimize power consumption and improve communication performance for real-time home automation and monitoring applications.
Walking through the fog (computing) - Keynote talk at Italian Networking Work...FBK CREATE-NET
"Walking through the fog (computing): trends, use-cases and open issues"
Despite its huge success in many IT-enabled application scenarios, cloud computing has demonstrated some intrinsic limitations that may severely limit its adoption in several contexts where constraints like e.g. preserving data locally, ensuring real-time reactivity or guaranteeing operation continuity despite lack of Internet connectivity (or a combination of them) are mandatory. These distinguishing requirements fostered an increased interest toward computing approaches that inherit the flexibility and adaptability of the cloud paradigm, while acting in proximity of a specific scenario. As a consequence, the emergence of this “proximity computing” approach has exploded into a plethora of architectural solutions (and novel terms) like fog computing, edge computing, dew computing, mist computing but also cloudlets, mobile cloud computing, mobile edge computing (and probably few others I may not be aware of…). The talk will initially make an attempt to introduce some clarity among these “foggy” definitions by proposing a taxonomy whose aim is to help identifying their peculiarities as well as their overlaps. Afterwards, the most important components of a generalized proximity computing architecture will be explained, followed by the description of few research works and use cases investigated within our Center and based on this emerging paradigm. An overview of open issues and interesting research directions will conclude the talk.
Cloud computing provides IT capabilities as a service over the internet. There are different types including public, private, and hybrid clouds. Major cloud providers are Amazon Web Services, Google Cloud, Microsoft Azure, IBM Cloud, and Oracle Cloud. Cloud computing goes through stages of development starting from time-sharing in the 1960s to modern technologies like containers. It offers advantages like reduced costs, scalability, and security but also has weaknesses regarding outages, vendor lock-in, and lack of control. Future trends include edge computing, disaster recovery, multi-cloud solutions, cloud security, Kubernetes, cloud gaming, and serverless computing.
This document discusses IoT network architecture and design. It explores drivers for new network architectures like scale, security, constrained devices, data, and legacy support. It compares the oneM2M and IoT World Forum IoT architectures, which divide functions into layers like applications, services, and networks. It also presents a simplified IoT architecture with two stacks: the data management and compute stack, and the core functional stack consisting of things, communications networks, and applications.
Cisco Keynote at NetApp Insight - Las VegasTim Stack
This document discusses Cisco's vision for powering hybrid cloud through partnerships and innovation. It outlines how technology is enabling new applications and disruption across industries. Cisco is addressing new IT mandates around cloud, IoT, big data and mobility through its Application Centric Infrastructure approach. This allows powering applications at any scale from edge to cloud. Cisco and Intel are collaborating to deliver unified computing solutions to meet these needs through products like UCS servers and the Intercloud fabric, which allows consistent workload portability across hybrid clouds.
This document summarizes a presentation by Xirrus about their next generation wireless networking solutions. Xirrus is a Wi-Fi solutions provider that offers cloud-managed wireless access points. They highlight key trends driving wireless networking needs, including increased devices and emphasis on user experience. Xirrus' solution provides scalable access points with up to 8 radios, application intelligence to ensure reliability, and flexible cloud-based management. Their EasyPass solution simplifies wireless access. Xirrus presents case studies showing their solution can address varying density needs while reducing equipment requirements compared to traditional Wi-Fi.
AccML, co-located with HiPEAC 2021_Pedro Trancoso presentationVEDLIoT Project
VEDLIoT is a project that aims to develop a framework for the next generation internet of things (IoT) based on IoT devices that collaboratively solve complex deep learning applications across distributed systems. The project will improve the performance and cost ratio of AI processing by distributing hardware across the entire chain from embedded devices to the cloud. It will also increase the safety, health and well-being of users through accelerating AI methods for user-home interaction. The project will develop a cognitive IoT platform, deep learning toolchain, and DL accelerators to enable this vision over its three year timeline starting in November 2020.
This document discusses the benefits and challenges of cloud computing for service providers and network vendors. It outlines that Ethernet has emerged as the primary network connectivity for cloud infrastructure due to its ability to support automation, programmability, interoperability and cost effectiveness. However, challenges remain around security, network provisioning speed, interoperability between on-premise and cloud networks, and lack of bandwidth guarantees. The document recommends that OpenCloud Connect explore initiatives to apply network virtualization, SDN and NFV technologies to carrier Ethernet networks to improve agility, programmability and elastic scaling of cloud services across distributed data centers.
This document discusses using event-driven architectures and serverless computing with AWS services. It begins with defining event-driven architectures and how serverless architectures relate to them. It then outlines several AWS services like EventBridge, Step Functions, SQS, SNS, and Lambda that are well-suited for building event-driven applications. The document demonstrates using S3, DynamoDB, API Gateway and other services to build a serverless hotel data ingestion and shopping platform that scales independently for static and dynamic data. It shows how to upload, store, and stream hotel data and expose APIs using serverless AWS services in an event-driven manner.
This document provides an overview of the Azure Batch Service, including its core features, architecture, and monitoring capabilities. It discusses how Azure Batch allows uploading batch jobs to the cloud to be executed and managed, covering concepts like job scheduling, resource management, and process monitoring. The document also demonstrates Azure Batch usage through the Azure portal and Batch Explorer tool and reviews quotas and limits for Batch accounts, pools, jobs, and other resources.
In this session, we will take a deep-dive into the DevOps process that comes with Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy and manage models. We zoom into how the data science process can be made traceable and deploy the model with Azure DevOps to a Kubernetes cluster.
At the end of this session, you will have a good grasp of the technological building blocks of Azure machine learning services and can bring a machine learning project safely into production.
When it comes to microservice architecture, sometimes all you wanted is to perform cross cutting concerns ( logging, authentication , caching, CORS, Routing, load balancing , exception handling , tracing, resiliency etc..) and also there might be a scenario where you wanted to perform certain manipulations on your request payload before hitting into your actual handler. And this should not be a repetitive code in each of the services , so all you might need is a single place to orchestrate all these concerns and that is where Middleware comes into the picture. In the demo I will be covering how to orchestrate these cross cutting concerns by using Azure functions as a Serverless model.
In this talk, we will start with some introduction to Azure Functions, its triggers and bindings. Later we will build a serverless solution to solve a problem statement by using different triggers and bindings of Azure Functions.
Language to be used: C# and IDE - Visual Studio 2019 Community Edition"
In this workshop, you will understand how Azure DevOps Services helps you scale DevOps adoption strategies in enterprise. We will explore various feature and services that can enable you to implement various DevOps practices starting from planning, version control, CI & CD , Dependency Management and Test planning.
In this session, we will understand how to create your first pipeline and build an environment to restore dependencies and how to run tests in Azure DevOps followed by building an image and pushing it to container registry.
In this session, we will discuss a use case where we need to quickly develop web and mobile front end applications which are using several different frameworks, hosting options, and complex integrations between systems under the hood. Let’s see how we can leverage serverless technologies (Azure Functions and logic apps) and Low Code/No code platform to achieve the goal. During the session we will go though the code followed by a demonstration.
CREATING REAL TIME DASHBOARD WITH BLAZOR, AZURE FUNCTION COSMOS DB AN AZURE S...CodeOps Technologies LLP
In this talk people will get to know how we can use change feed feature of Cosmos DB and use azure functions and signal or service to develop a real time dashboard system
Imagine a scenario, where you can launch a video call or chat with an advisor, agent, or clinician in just one-click. We will explore application patterns that will enable you to write event-driven, resilient and highly scalable applications with Functions that too with power of engaging communication experience at scale. During the session, we will go through the use case along with code walkthrough and demonstration.
We will walk through the exploration, training and serving of a machine learning model by leveraging Kubeflow's main components. We will use Jupyter notebooks on the cluster to train the model and then introduce Kubeflow Pipelines to chain all the steps together, to automate the entire process.
It is difficult to deploy interloop Kubernetes development in current state. Know these open-source projects that can save us from the burden of various tools and help in deploying microservices on Kubernetes cluster without saving secrets in a file.
Must Know Azure Kubernetes Best Practices And Features For Better Resiliency ...CodeOps Technologies LLP
Running day-1 Ops on your Kubernetes is somewhat easy, but it is quite daunting to manage day two challenges. Learn about AKS best practices for your cloud-native applications so that you can avoid blow up your workloads.
Prometheus is a popular open source metric monitoring solution and Azure Monitor provides a seamless onboarding experience to collect Prometheus metrics. Learn how to configure scraping of Prometheus metrics with Azure Monitor for containers running in AKS cluster.
What if you could combine Trello, GitLab, JIRA, Calendar, Slack, Confluence, and more - all together into one solution?
Yes, we are talking about Space - the latest tool from JetBrains famous for its developer productivity-enhancing tools (esp. IntelliJ IDEA).
Here we have explained about JetBrains' space and its functionalities.
This document provides an overview of functional programming concepts in Java 8 including lambdas and streams. It introduces lambda functions as anonymous functions without a name. Lambdas allow internal iteration over collections using forEach instead of external iteration with for loops. Method references provide a shorthand for lambda functions by "routing" function parameters. Streams in Java 8 enhance the library and allow processing data pipelines in a functional way.
This talk will serve as a practical introduction to Distributed Tracing. We will see how we can make best use of open source distributed tracing platforms like Hypertrace with Azure and find the root cause of problems and predict issues in our critical business applications beforehand.
This talk serves as a practical introduction to Distributed Tracing. We will see how we can make best use of open source distributed tracing platforms like Hypertrace with Azure and find the root cause of problems and predict issues in our critical business applications beforehand.
Presentation part of Open Source Days on 30 Oct - ossdays.konfhub.com
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex
Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
Introduction to roof computing by Nishant Krishna
1. IEEE P1931.1
Introduction to ROOF Computing
Nishant Krishna
Software Architect and Consulting
Engineer, Avaya
Member, P1931.1 Working Group
(Slides reused from Syam Madanapalli,
Chair, P1931.1)
2. 2
About Nishant Krishna
Ø Software Architect, Innovator and Inventor with ~17 years of
experience working on Network Management Systems (NMS),
Cloud and Virtualization, Software-Defined Network (SDN), API
Development and Internet of Things (IoT) technologies.
Ø 2 patent granted and 5 patents filed/pending with US Patent
Office in the areas of Network Management Systems, Cloud,
Virtualization and SDN Technologies.
Ø I participate actively in User Experience (UX) and Wireframing
related activities.
Ø My areas of interest include Cloud and Virtualization, SDN, IoT,
UX, User Interfaces, Network Security, Cryptography, public
speaking and latest tech and gadgets.
Ø Nishant has a Master of Science (MS) in Software Engineering
degree from BITS, Pilani, along with many technical
certifications.
https://in.linkedin.com/in/nishantkrishna
https://twitter.com/nishantkrishna
3. 3
“There are two types of
organizations in today’s world,
those that have been breached and
those that just don’t know it yet.”
4. 6/18/174
Standards Title: Standard for an Architectural
Framework for Real-time Onsite Operations Facilitation
(ROOF) for the Internet of Things
• Technical and functional interoperability for IoT systems that
operate and co-operate in a secure and independent manner
within the context of a local environment such as home, factory,
office or airport, etc.
• Defines an architectural framework, protocols and Application
Programming Interfaces (APIs) for providing Real-time Onsite
Operations Facilitation (ROOF).
• ROOF computing and networking for the data and the devices
include next-hop connectivity for the devices, real-time context
building and decision triggers, efficient backhaul connectivity to
the cloud, and security & privacy.
• Defines how an end user is able to securely provision, commission
and decommission the devices.
Working Group Chair: Syam Madanapalli, Dell
IEEE P1931.1: ROOF Computing
5. 6/18/175
Standards Title: Standard for Harmonization of Internet
of Things (IoT) Devices and Systems
• Define a metadata bridge to facilitate IoT protocol transport for
sensors, actuators, and devices.
• The standard addresses issues of security, scalability, and
interoperability. This standard can provide significant cost savings
and reduce complexity, and offer a data sharing approach
leveraging current instrumentation and devices used in industry
• The backend of such a globally scalable, secure and interoperable
network would be based on the eXtensible Messaging and
Presence Protocol (XMPP),
• Key components and needs of a successful Smart City
infrastructure will be identified and addressed. This standard does
not develop Application Programming Interfaces (APIs) for
existing IoT or legacy protocols.
Working Group Chair: Dr. William Miller, MACT-USA, Dr.
Muzzammil Hussain, Samsung (India Focus Group for 1451)
IEEE P1451-99: IoT Harmonisation
7. History of Computing Paradigms
1960s
Server Computing
1990s
Distributed Computing
2000s
Cloud Computing
Server
VPN Cloud
Headquarters
Subsidiaries
Remote users Remote users
Headquarters
Subsidiaries
Terminals
8. Roof, Humans and the Internet of Things
8
Roof protects people and their
possessions.*
* "Roof". Wikipedia. N.p., 2016. Web.
The Internet of Things, the
constrained devices, require an
environment wherein they can
operate, build trust, collaborate
and be protected.
Need a Roof for the Internet
of Things.
9. IoT and the Autonomy
9
An IoT system should have various decision
and automation tools that operate and
cooperate autonomously within the context of
a local environment.
10. What is Roof?
10
The ROOF
• A new computing paradigm for the Internet of Things
• ROOF is both a metaphor and acronym
• Below the Cloud and Fog
The Primary goal
• To provide Autonomous and Realtime Response over a period
of time
• Context building using edge analytics
Others
• To support plug and play connectivity for the Things
• Efficient connectivity to the Cloud/Service providers
• Security by default with contextual analysis
• Local storage
11. The Roof – for the Better Internet of Things
11
Cloud
Hundreds
Up to 1000s of
kilometers away
Fog
Tens of thousands
Few kilometers
away
ROOF
Millions to billions
Few meters/one-hop
away
Things
Billions to
trillions
ROOF – Realtime Onsite Operations Facilitation for the
Internet of Things
12. Motivation for the Roof
12
Various
access & data
protocols
Realtime and
offline
support
Constrained
nodes, and
device & data
protection
Variety of
sensor & data
and evolving
infrastructure
Connectivity Context Security Data
Framework
for
interoperabilit
y
Realtime
computing
Computing for
security and
privacy
Flexible
backhaul and
services
13. Roof Computing
Data/Service
Context
Security
Connectivity
13
Roof is a computational
paradigm for the Internet of
Things to provide
• Next-hop connectivity for the
Things
• Realtime context building and
actions
• Efficient data & service
connectivity to the
Cloud/service provider
• Framework and computing for
security & privacy
14. The Roof and the Spatiotemporal Location
14
It is important to treat all events with respect to their
temporal location!
If (this)
then
(react)
If (this)
then
(act)
If (this)
then
(optimiz
e)
If (this)
then
(plan)
Time
Realtime
Near realtime
Future
Things
Fog
Cloud
Roof
Fog
Roof Roof Roof
15. Roof Functional Model
15
IoT Services
Device&Network
Management
Security&Privacy
Management
Thing Connectivity
Cloud Connectivity &
Service Management
Context
Building
Local
Storage
Physical world (Things)
Intruders
Users
Cyber world/Service Providers
16. Roof Applications
16
Roof is essential for any IoT
application, including:
• Connected homes
• Connected industries
• Connected vehicles
• Connected healthcare
services
• Connected public
authorities
• Clusters of IoT deployments
in the smart cities
• Other highly distributed IoT
application deployments
Clou
d
Gateway
Things
Mobile
App
Internet
17. Roof with Blockchain
17
Cloud
Blockchain
• Establish peer-to-peer trust &
reputation
• Information sharing and
collaboration
• Move away on security from
passive prevention to
cooperative distributed
assurance
18. Roof vs. Fog vs. Cloud
18
Consideration
Computing Model
Roof Fog Cloud
Distance to Things Few meters Upto few kilometers
Upto thousands of
kilometers
Deployment numbers Millions to billions Tens of thousands Few hundreds
Technology
complexity
Simple Complex Simple
Implementation
complexity
Easy Difficult Easy
Content Machine data The Internet fringe Big data
Drivers
The things -
constrained
devices
Support for mobility
and to reduce the
latency
Big Data storage
and analytics
Applications All IoT applications
Large distributed IoT
applications
Appcesory, storage
and analytics
Cost of
implementation
Low High Medium
19. Goals for the Roof
1. Enable the devices under the Roof to collaborate and act in
realtime
2. Bridge the physical and cyber world, and allow horizontal
integration
3. Confirming to Roof requires security & privacy by design
4. Lower operational and maintenance cost with ease of
configuration, commissioning, use and maintenance
5. Easy to build and repeatable – hence increased reliability,
resilience and scalability for IoT deployments
6. Allow innovation for new business models and lower the barrier
for entry for device manufacturers and service providers
19
20. Goal 1: Context Building
Context Action
Devices
Sensor Fusion
Cn=2^s – 1
Cn = Max. no. of contexts
S= No. of States/services
Compute Context
Aggregate the data
Route the data
Data condensing is critical
because of the sheer
volumes of Data being
generated.
22. Goal 3: Security by Design
Security fusion, combining
multiple security touchpoints,
helps curb security threats.
Device manufacturers and Service providers
require support Security by design to fit into the
Roof Model.
Context
Authorization
Authentication
Network Security
Role Based
23. Goal 4: Better User Experience
Configuration
Commissioning and decommissioning
Software updates
Coherent services and distributed user experience
User aware security & privacy
24. Goal 5: Reuse & Scalability
A model that can be replicated easily
Be able to build large scale IoT applications, e.g. a Smart City
A model that can be used across multiple applications and verticals
Act autonomously in
realtime
Connect to the Cloud for
more value creation
Cloud
25. Goal 6: Innovation
Roof allows evolution of common IoT
platforms for rapid application/service
delivery
Applications can evolve
independently & enables an
environment for rapid innovation
Devices can evolve independently
Open IoT Platform
Service BService A Service N
26. What’s happening right now?
¾ Working group is meeting once every month. On an average close to 50
members join the meeting. The group has representation from industry,
standards body, device manufacturers, academia and many more areas,
from around the world.
¾ Sub-groups are already formed for various smaller sections of the
standard and they are activity working.
¾ Discussions about creating reference and open-source implementation
are going on.
¾ Use cases and areas where ROOF can be applicable are actively
identified in many of the sectors and are being expanded.
26
27. Few parting thoughts…
¾ Interoperability can be achieved through mandating a common set of
API, ontology and data semantics.
¾ We need to consider capability of establishing secure ownership of all
“things” including ROOF infrastructure. A “Software Roof of Trust” may
need to be established.
¾ We must allow ROOF and things to be private/business owned or rented
(owner maintains final control) and/or provided by an internet provider.
¾ May need to use blockchain to control both ownership and allowed
administrator/user along with a kill switch.
¾ We can’t leave out requirements for safety conformance of things,
communications, and processing of so many of the ROOFs and Things
that will be (already are) safety critical.
¾ Billions of ”things” out there use variety of protocols and standards. We
need to work towards developing protocols and strategies to integrate
such vast diversity of communication technologies.
27