http://www.edgecomputingbook.com/api.php?action=feedcontributions&feedformat=atom&user=PrateekRai 2026-04-16T15:14:47Z User contributions MediaWiki 1.43.0 http://www.edgecomputingbook.com/index.php?title=Main_Page&diff=83 2025-02-27T19:48:42Z

<p>PrateekRai: /* Structure of this WiKi */</p> <hr /> <div>&lt;span style=&quot;color: red;&quot;&gt; Please note that: &lt;/span&gt;<br /> * you can only create or edit a page when you are on campus or connected to the UM VPN. <br /> * read this help page for formatting: [https://www.mediawiki.org/wiki/Help:Formatting Formatting]<br /> * read this help page for user's guide: [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide]<br /> <br /> <br /> Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.<br /> <br /> == Getting started ==<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]<br /> * [https://lists.wikimedia.org/postorius/lists/mediawiki-announce.lists.wikimedia.org/ MediaWiki release mailing list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]<br /> <br /> == Structure of this WiKi ==<br /> <br /> 1. [http://www.edgecomputingbook.com/index.php/Edge_Cloud:_Bringing_Computing_Close_to_the_User Edge Cloud Demo] - Sample <br /> <br /> 2. [http://www.edgecomputingbook.com/index.php/Chapter_1:_Edge_Computing Edge Computing Chapter 1] - Reference Sample<br /> <br /> 1. Introduction to Edge Computing (Vrunda Kadam, Aayush Chopra, and Riya Pawar)<br /> <br /> 1.1 What is Edge Computing?<br /> <br /> 1.2 Why We Need Edge Computing?<br /> <br /> 1.3 Edge Computing Application Domains and Typical Applications<br /> <br /> 1.4 Different Edge Computing Paradigms (include Cloud-Edge Continuum here)<br /> <br /> <br /> 2.Edge Computing Architecture and Layers (Amit Saha, Md Eleus, Farhan Tanvir)<br /> <br /> 2.1 IoT, Mobile, and Digital Twins<br /> <br /> 2.2 Cloud<br /> <br /> 2.3 Edge and Fog <br /> <br /> 2.4 Edge-Cloud Continuum<br /> <br /> <br /> 3.Edge Computing Products and Frameworks (Ashwin Alinkil, Jasmine Rabie, Nate Pierce, Brian Retterer)<br /> <br /> 3.1 Industry Products: AWS as an Example<br /> <br /> 3.2 Open Source Frameworks<br /> <br /> 3.3 Serverless at the Edge<br /> <br /> <br /> 4.Machine Learning at the Edge (Vlad Nitu, Joel Henry Arun, Ciaran Grabowski, and Haneen Syed)<br /> <br /> 4.1 Overview of ML at the Edge<br /> <br /> 4.2 ML Training at the Edge<br /> <br /> 4.3 ML Model Optimization for the Edge<br /> <br /> <br /> 5. Federated Learning (Manoj Alexander, Ram Kumar Ippili, Sai Revanth Iddum, and Chakradhar Nidujuvvi )<br /> <br /> <br /> 6.Edge Security and Privacy (Nitin Madhu, Ali Siddiqi, Jyotsana Sharma, Vedant Patel)<br /> <br /> 6.1 Overview of Security Challenges in Edge Computing<br /> <br /> 6.2 Data Privacy and Compliance in Edge Applications<br /> <br /> 6.3 Security Protocols and Frameworks for Edge Systems<br /> <br /> 6.4 Case Studies: Real-World Security Breaches<br /> <br /> <br /> 7. Emerging Research Directions (7.1~7.3: Erika Valle-Baird, Mohamed Aboulsaad, Matthew Kwan)<br /> <br /> 7.1 Task and Resource Scheduling<br /> <br /> 7.2 Edge for AR/VR<br /> <br /> 7.3 Vehicle Computing<br /> <br /> 7.4 Energy-Efficient Edge Architectures (Zaid Ghazal, Matthew Correa)<br /> <br /> 7.5 Data persistence (Warren Lazarraga)<br /> <br /> 8.Conclusion and Future Outlook (cannot be chosen by students)</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Main_Page&diff=82 2025-02-27T19:48:22Z

<p>PrateekRai: /* Structure of this WiKi */</p> <hr /> <div>&lt;span style=&quot;color: red;&quot;&gt; Please note that: &lt;/span&gt;<br /> * you can only create or edit a page when you are on campus or connected to the UM VPN. <br /> * read this help page for formatting: [https://www.mediawiki.org/wiki/Help:Formatting Formatting]<br /> * read this help page for user's guide: [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide]<br /> <br /> <br /> Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.<br /> <br /> == Getting started ==<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]<br /> * [https://lists.wikimedia.org/postorius/lists/mediawiki-announce.lists.wikimedia.org/ MediaWiki release mailing list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]<br /> <br /> == Structure of this WiKi ==<br /> <br /> [http://www.edgecomputingbook.com/index.php/Edge_Cloud:_Bringing_Computing_Close_to_the_User Edge Cloud Demo] - Sample <br /> [http://www.edgecomputingbook.com/index.php/Chapter_1:_Edge_Computing Edge Computing Chapter 1] - Reference Sample<br /> <br /> 1. Introduction to Edge Computing (Vrunda Kadam, Aayush Chopra, and Riya Pawar)<br /> <br /> 1.1 What is Edge Computing?<br /> <br /> 1.2 Why We Need Edge Computing?<br /> <br /> 1.3 Edge Computing Application Domains and Typical Applications<br /> <br /> 1.4 Different Edge Computing Paradigms (include Cloud-Edge Continuum here)<br /> <br /> <br /> 2.Edge Computing Architecture and Layers (Amit Saha, Md Eleus, Farhan Tanvir)<br /> <br /> 2.1 IoT, Mobile, and Digital Twins<br /> <br /> 2.2 Cloud<br /> <br /> 2.3 Edge and Fog <br /> <br /> 2.4 Edge-Cloud Continuum<br /> <br /> <br /> 3.Edge Computing Products and Frameworks (Ashwin Alinkil, Jasmine Rabie, Nate Pierce, Brian Retterer)<br /> <br /> 3.1 Industry Products: AWS as an Example<br /> <br /> 3.2 Open Source Frameworks<br /> <br /> 3.3 Serverless at the Edge<br /> <br /> <br /> 4.Machine Learning at the Edge (Vlad Nitu, Joel Henry Arun, Ciaran Grabowski, and Haneen Syed)<br /> <br /> 4.1 Overview of ML at the Edge<br /> <br /> 4.2 ML Training at the Edge<br /> <br /> 4.3 ML Model Optimization for the Edge<br /> <br /> <br /> 5. Federated Learning (Manoj Alexander, Ram Kumar Ippili, Sai Revanth Iddum, and Chakradhar Nidujuvvi )<br /> <br /> <br /> 6.Edge Security and Privacy (Nitin Madhu, Ali Siddiqi, Jyotsana Sharma, Vedant Patel)<br /> <br /> 6.1 Overview of Security Challenges in Edge Computing<br /> <br /> 6.2 Data Privacy and Compliance in Edge Applications<br /> <br /> 6.3 Security Protocols and Frameworks for Edge Systems<br /> <br /> 6.4 Case Studies: Real-World Security Breaches<br /> <br /> <br /> 7. Emerging Research Directions (7.1~7.3: Erika Valle-Baird, Mohamed Aboulsaad, Matthew Kwan)<br /> <br /> 7.1 Task and Resource Scheduling<br /> <br /> 7.2 Edge for AR/VR<br /> <br /> 7.3 Vehicle Computing<br /> <br /> 7.4 Energy-Efficient Edge Architectures (Zaid Ghazal, Matthew Correa)<br /> <br /> 7.5 Data persistence (Warren Lazarraga)<br /> <br /> 8.Conclusion and Future Outlook (cannot be chosen by students)</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Main_Page&diff=81 2025-02-27T19:48:13Z

<p>PrateekRai: /* Structure of this WiKi */</p> <hr /> <div>&lt;span style=&quot;color: red;&quot;&gt; Please note that: &lt;/span&gt;<br /> * you can only create or edit a page when you are on campus or connected to the UM VPN. <br /> * read this help page for formatting: [https://www.mediawiki.org/wiki/Help:Formatting Formatting]<br /> * read this help page for user's guide: [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide]<br /> <br /> <br /> Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.<br /> <br /> == Getting started ==<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]<br /> * [https://lists.wikimedia.org/postorius/lists/mediawiki-announce.lists.wikimedia.org/ MediaWiki release mailing list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]<br /> <br /> == Structure of this WiKi ==<br /> <br /> [ http://www.edgecomputingbook.com/index.php/Edge_Cloud:_Bringing_Computing_Close_to_the_User Edge Cloud Demo] - Sample <br /> [http://www.edgecomputingbook.com/index.php/Chapter_1:_Edge_Computing Edge Computing Chapter 1] - Reference Sample<br /> <br /> 1. Introduction to Edge Computing (Vrunda Kadam, Aayush Chopra, and Riya Pawar)<br /> <br /> 1.1 What is Edge Computing?<br /> <br /> 1.2 Why We Need Edge Computing?<br /> <br /> 1.3 Edge Computing Application Domains and Typical Applications<br /> <br /> 1.4 Different Edge Computing Paradigms (include Cloud-Edge Continuum here)<br /> <br /> <br /> 2.Edge Computing Architecture and Layers (Amit Saha, Md Eleus, Farhan Tanvir)<br /> <br /> 2.1 IoT, Mobile, and Digital Twins<br /> <br /> 2.2 Cloud<br /> <br /> 2.3 Edge and Fog <br /> <br /> 2.4 Edge-Cloud Continuum<br /> <br /> <br /> 3.Edge Computing Products and Frameworks (Ashwin Alinkil, Jasmine Rabie, Nate Pierce, Brian Retterer)<br /> <br /> 3.1 Industry Products: AWS as an Example<br /> <br /> 3.2 Open Source Frameworks<br /> <br /> 3.3 Serverless at the Edge<br /> <br /> <br /> 4.Machine Learning at the Edge (Vlad Nitu, Joel Henry Arun, Ciaran Grabowski, and Haneen Syed)<br /> <br /> 4.1 Overview of ML at the Edge<br /> <br /> 4.2 ML Training at the Edge<br /> <br /> 4.3 ML Model Optimization for the Edge<br /> <br /> <br /> 5. Federated Learning (Manoj Alexander, Ram Kumar Ippili, Sai Revanth Iddum, and Chakradhar Nidujuvvi )<br /> <br /> <br /> 6.Edge Security and Privacy (Nitin Madhu, Ali Siddiqi, Jyotsana Sharma, Vedant Patel)<br /> <br /> 6.1 Overview of Security Challenges in Edge Computing<br /> <br /> 6.2 Data Privacy and Compliance in Edge Applications<br /> <br /> 6.3 Security Protocols and Frameworks for Edge Systems<br /> <br /> 6.4 Case Studies: Real-World Security Breaches<br /> <br /> <br /> 7. Emerging Research Directions (7.1~7.3: Erika Valle-Baird, Mohamed Aboulsaad, Matthew Kwan)<br /> <br /> 7.1 Task and Resource Scheduling<br /> <br /> 7.2 Edge for AR/VR<br /> <br /> 7.3 Vehicle Computing<br /> <br /> 7.4 Energy-Efficient Edge Architectures (Zaid Ghazal, Matthew Correa)<br /> <br /> 7.5 Data persistence (Warren Lazarraga)<br /> <br /> 8.Conclusion and Future Outlook (cannot be chosen by students)</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Main_Page&diff=80 2025-02-27T19:47:47Z

<p>PrateekRai: /* Structure of this WiKi */</p> <hr /> <div>&lt;span style=&quot;color: red;&quot;&gt; Please note that: &lt;/span&gt;<br /> * you can only create or edit a page when you are on campus or connected to the UM VPN. <br /> * read this help page for formatting: [https://www.mediawiki.org/wiki/Help:Formatting Formatting]<br /> * read this help page for user's guide: [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide]<br /> <br /> <br /> Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.<br /> <br /> == Getting started ==<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]<br /> * [https://lists.wikimedia.org/postorius/lists/mediawiki-announce.lists.wikimedia.org/ MediaWiki release mailing list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]<br /> <br /> == Structure of this WiKi ==<br /> <br /> [ http://www.edgecomputingbook.com/index.php/Edge_Cloud:_Bringing_Computing_Close_to_the_User#Key_Benefits_of_Edge_Cloud Edge Cloud Demo] - Sample <br /> [http://www.edgecomputingbook.com/index.php/Chapter_1:_Edge_Computing Edge Computing Chapter 1] - Reference Sample<br /> <br /> 1. Introduction to Edge Computing (Vrunda Kadam, Aayush Chopra, and Riya Pawar)<br /> <br /> 1.1 What is Edge Computing?<br /> <br /> 1.2 Why We Need Edge Computing?<br /> <br /> 1.3 Edge Computing Application Domains and Typical Applications<br /> <br /> 1.4 Different Edge Computing Paradigms (include Cloud-Edge Continuum here)<br /> <br /> <br /> 2.Edge Computing Architecture and Layers (Amit Saha, Md Eleus, Farhan Tanvir)<br /> <br /> 2.1 IoT, Mobile, and Digital Twins<br /> <br /> 2.2 Cloud<br /> <br /> 2.3 Edge and Fog <br /> <br /> 2.4 Edge-Cloud Continuum<br /> <br /> <br /> 3.Edge Computing Products and Frameworks (Ashwin Alinkil, Jasmine Rabie, Nate Pierce, Brian Retterer)<br /> <br /> 3.1 Industry Products: AWS as an Example<br /> <br /> 3.2 Open Source Frameworks<br /> <br /> 3.3 Serverless at the Edge<br /> <br /> <br /> 4.Machine Learning at the Edge (Vlad Nitu, Joel Henry Arun, Ciaran Grabowski, and Haneen Syed)<br /> <br /> 4.1 Overview of ML at the Edge<br /> <br /> 4.2 ML Training at the Edge<br /> <br /> 4.3 ML Model Optimization for the Edge<br /> <br /> <br /> 5. Federated Learning (Manoj Alexander, Ram Kumar Ippili, Sai Revanth Iddum, and Chakradhar Nidujuvvi )<br /> <br /> <br /> 6.Edge Security and Privacy (Nitin Madhu, Ali Siddiqi, Jyotsana Sharma, Vedant Patel)<br /> <br /> 6.1 Overview of Security Challenges in Edge Computing<br /> <br /> 6.2 Data Privacy and Compliance in Edge Applications<br /> <br /> 6.3 Security Protocols and Frameworks for Edge Systems<br /> <br /> 6.4 Case Studies: Real-World Security Breaches<br /> <br /> <br /> 7. Emerging Research Directions (7.1~7.3: Erika Valle-Baird, Mohamed Aboulsaad, Matthew Kwan)<br /> <br /> 7.1 Task and Resource Scheduling<br /> <br /> 7.2 Edge for AR/VR<br /> <br /> 7.3 Vehicle Computing<br /> <br /> 7.4 Energy-Efficient Edge Architectures (Zaid Ghazal, Matthew Correa)<br /> <br /> 7.5 Data persistence (Warren Lazarraga)<br /> <br /> 8.Conclusion and Future Outlook (cannot be chosen by students)</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=79 2025-02-27T19:46:18Z

<p>PrateekRai: /* Bandwidth optimization &amp; Cost reduction */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | 350px |thumb | left |Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=78 2025-02-27T19:46:05Z

<p>PrateekRai: /* Bandwidth optimization &amp; Cost reduction */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | 250px |thumb | left |Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=77 2025-02-27T19:45:52Z

<p>PrateekRai: /* Key Benefits of Edge Cloud */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | 250px |Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=76 2025-02-27T19:45:44Z

<p>PrateekRai: /* Key Benefits of Edge Cloud */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | 250px | thumb |Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=75 2025-02-27T19:45:13Z

<p>PrateekRai: /* Bandwidth optimization &amp; Cost reduction */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=74 2025-02-27T19:45:03Z

<p>PrateekRai: /* Bandwidth optimization &amp; Cost reduction */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | thumb | left | Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=73 2025-02-27T19:44:52Z

<p>PrateekRai: /* Bandwidth optimization &amp; Cost reduction */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | 350px | thumb | left | Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=72 2025-02-27T19:44:45Z

<p>PrateekRai: /* Key Benefits of Edge Cloud */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | 250px | thumb | left | Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=71 2025-02-27T19:44:34Z

<p>PrateekRai: /* Key Benefits of Edge Cloud */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.<br /> <br /> [[File:Screenshot 2024-04-18 150719.png | 200px | thumb | left | Edge Cloud]]</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=70 2025-02-27T19:42:09Z

<p>PrateekRai: /* Bandwidth optimization &amp; Cost reduction */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> * Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> ** This is crucial for IoT devices, which generate massive amounts of data.</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=69 2025-02-27T19:41:46Z

<p>PrateekRai: /* Key Benefits of Edge Cloud */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> * This is crucial for IoT devices, which generate massive amounts of data.</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=68 2025-02-27T19:40:58Z

<p>PrateekRai: /* Key Benefits of Edge Cloud */</p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud<br /> === Bandwidth optimization &amp; Cost reduction ===<br /> Since data is processed near the source, less raw data needs to be sent to the cloud, reducing bandwidth usage.<br /> This is crucial for IoT devices, which generate massive amounts of data.</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=67 2025-02-27T19:34:50Z

<p>PrateekRai: </p> <hr /> <div>= Edge Cloud =<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> === Low Latency &amp; Faster response times ===<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Edge_Cloud:_Bringing_Computing_Close_to_the_User&diff=66 2025-02-27T19:34:22Z

<p>PrateekRai: Created page with &quot;=== Edge Cloud === Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the &#039;&#039;&#039;edge of the network&#039;&#039;&#039;, reducing latency and improving performance for real-time applications. == Key Benefits of Edge Cloud == = Low Latency &amp; Faster response times = By processing data closer to users, ed...&quot;</p> <hr /> <div>=== Edge Cloud ===<br /> <br /> Edge Cloud is a distributed computing paradigm that extends cloud capabilities closer to end users and devices. Instead of relying solely on centralized data centers, edge cloud leverages geographically distributed nodes to process data at the '''edge of the network''', reducing latency and improving performance for real-time applications.<br /> <br /> == Key Benefits of Edge Cloud == <br /> = Low Latency &amp; Faster response times =<br /> By processing data closer to users, edge cloud reduces the delay in applications like autonomous vehicles, IoT, and AR/VR.<br /> For example, a smart city traffic system can analyze video feeds locally instead of sending everything to a distant cloud</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Chapter_2:_Architecture&diff=65 2025-02-27T19:30:39Z

<p>PrateekRai: /* Architecture */</p> <hr /> <div>== Architecture == <br /> == Components ==</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=File:Screenshot_2024-04-18_150719.png&diff=64 2025-02-27T19:29:33Z

<p>PrateekRai: </p> <hr /> <div></div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Chapter_2:_Architecture&diff=63 2025-02-27T19:25:17Z

<p>PrateekRai: /* Architecture */</p> <hr /> <div>== ''Architecture'' == <br /> === Components ===</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Chapter_2:_Architecture&diff=62 2025-02-27T19:25:03Z

<p>PrateekRai: /* Architecture */</p> <hr /> <div>== '''Architecture''' == <br /> === Components ===</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Chapter_2:_Architecture&diff=61 2025-02-27T19:24:32Z

<p>PrateekRai: Created page with &quot;== Architecture == === Components ===&quot;</p> <hr /> <div>== Architecture == <br /> === Components ===</div>

PrateekRai http://www.edgecomputingbook.com/index.php?title=Main_Page&diff=60 2025-02-27T19:22:03Z

<p>PrateekRai: /* Structure of this WiKi */</p> <hr /> <div>&lt;span style=&quot;color: red;&quot;&gt; Please note that: &lt;/span&gt;<br /> * you can only create or edit a page when you are on campus or connected to the UM VPN. <br /> * read this help page for formatting: [https://www.mediawiki.org/wiki/Help:Formatting Formatting]<br /> * read this help page for user's guide: [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide]<br /> <br /> <br /> Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.<br /> <br /> == Getting started ==<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]<br /> * [https://lists.wikimedia.org/postorius/lists/mediawiki-announce.lists.wikimedia.org/ MediaWiki release mailing list]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language]<br /> * [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]<br /> <br /> == Structure of this WiKi ==<br /> <br /> [http://www.edgecomputingbook.com/index.php/Chapter_1:_Edge_Computing Edge Computing Chapter 1] - Reference Sample<br /> <br /> 1. Introduction to Edge Computing (Vrunda Kadam, Aayush Chopra, and Riya Pawar)<br /> <br /> 1.1 What is Edge Computing?<br /> <br /> 1.2 Why We Need Edge Computing?<br /> <br /> 1.3 Edge Computing Application Domains and Typical Applications<br /> <br /> 1.4 Different Edge Computing Paradigms (include Cloud-Edge Continuum here)<br /> <br /> <br /> 2.Edge Computing Architecture and Layers (Amit Saha, Md Eleus, Farhan Tanvir)<br /> <br /> 2.1 IoT, Mobile, and Digital Twins<br /> <br /> 2.2 Cloud<br /> <br /> 2.3 Edge and Fog <br /> <br /> 2.4 Edge-Cloud Continuum<br /> <br /> <br /> 3.Edge Computing Products and Frameworks (Ashwin Alinkil, Jasmine Rabie, Nate Pierce, Brian Retterer)<br /> <br /> 3.1 Industry Products: AWS as an Example<br /> <br /> 3.2 Open Source Frameworks<br /> <br /> 3.3 Serverless at the Edge<br /> <br /> <br /> 4.Machine Learning at the Edge (Vlad Nitu, Joel Henry Arun, Ciaran Grabowski, and Haneen Syed)<br /> <br /> 4.1 Overview of ML at the Edge<br /> <br /> 4.2 ML Training at the Edge<br /> <br /> 4.3 ML Model Optimization for the Edge<br /> <br /> <br /> 5. Federated Learning (Manoj Alexander, Ram Kumar Ippili, Sai Revanth Iddum, and Chakradhar Nidujuvvi )<br /> <br /> <br /> 6.Edge Security and Privacy (Nitin Madhu, Ali Siddiqi, Jyotsana Sharma, Vedant Patel)<br /> <br /> 6.1 Overview of Security Challenges in Edge Computing<br /> <br /> 6.2 Data Privacy and Compliance in Edge Applications<br /> <br /> 6.3 Security Protocols and Frameworks for Edge Systems<br /> <br /> 6.4 Case Studies: Real-World Security Breaches<br /> <br /> <br /> 7. Emerging Research Directions (7.1~7.3: Erika Valle-Baird, Mohamed Aboulsaad, Matthew Kwan)<br /> <br /> 7.1 Task and Resource Scheduling<br /> <br /> 7.2 Edge for AR/VR<br /> <br /> 7.3 Vehicle Computing<br /> <br /> 7.4 Energy-Efficient Edge Architectures (Zaid Ghazal, Matthew Correa)<br /> <br /> 7.5 Data persistence (Warren Lazarraga)<br /> <br /> 8.Conclusion and Future Outlook (cannot be chosen by students)</div>

PrateekRai