Edge Computing

By Prof. Rajiv Misra | IIT Patna

Learners enrolled: 4514 | Exam registration: 1203

ABOUT THE COURSE:
This course we will cover fundamentals of Edge computing and its applications in low latency and critical real-time computing scenarios. The course brings in theory of Edge computing, focusing on it as a complementary approach that addresses some of the limitations of cloud computing. The course will cover applications where edge computing is a necessity, such as real-time applications that require low latency and high bandwidth. For example, autonomous vehicles require real-time processing of data from sensors, which cannot be done in a centralized data center due to latency issues.

This course covers various innovations of waves from cloud computing to edge computing. This course provides an in-depth understanding of edge computing principles with different use case of edge computing. In this course we will explore different frameworks for computing over edge devices and cloud. We will cover different techniques for distributed data analytics over edge devices like edge data center. Different edge computing fundamentals will be covered, such as RTT, Docker containers, Kubernetes, MQTT, Kafka, time and clock synchronization and key-value stores at edge. We will also cover various cloud platforms that provide edge services.

This course also covers recent advances of machine learning, deep learning and artificial intelligence with appropriate use cases in edge computing such as predictive maintenance, self-driving cars and deep reinforcement learning for edge applications.

INTENDED AUDIENCE: CSE, ECE, EE

PREREQUISITES: Networking

INDUSTRY SUPPORT: IT industries

Summary

Course Status :	Completed
Course Type :	Elective
Language for course content :	English
Duration :	8 weeks
Category :	Computer Science and Engineering
Credit Points :	2
Level :	Undergraduate/Postgraduate
Start Date :	22 Jan 2024
End Date :	15 Mar 2024
Enrollment Ends :	05 Feb 2024
Exam Registration Ends :	16 Feb 2024
Exam Date :	23 Mar 2024 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1 : Introduction to Cloud and its limitations to support low latency and RTT. From Cloud to Edge computing: Waves of innovation

Week 2 : Introduction to Edge Computing Architectures

Week 3 : Edge Computing to support User Applications (5G-Slicing, self-driving cars and more)

Week 4 : Concepts of distributed systems in edge computing such as time ordering and clock synchronization, distributed snapshot, etc.

Week 5 : Introduction to Edge Data Center, Lightweight Edge Clouds and its services provided by different service providers.

Week 6 : Introduction to docker container and Kubernetes in edge computing. Design of edge storage systems like key-value stores

Week 7 : Introduction to MQTT and Kafka for end-to-end edge pipeline. Edge analytics topologies for M2M and WSN network (MQTT)

Week 8 : Use cases of machine learning for edge sensor data in predictive maintenance, image classifier and self-driving cars. Deep Learning On-Device inference at the edge to support latency-based application

Books and references

1. “Fog and Edge Computing: Principles and Paradigms”, Rajkumar Buyya (Editor), Satish Narayana Srirama (Editor), Wiley, 2019
2. Cloud Computing: Principles and Paradigms”, Editors: Rajkumar Buyya, James Broberg,Andrzej M. Goscinski, Wiley, 2011
3. “Cloud and Distributed Computing: Algorithms and Systems”, Rajiv Misra, Yashwant Patel, Wiley 2020.

Beside these books, we will provide Journal papers as references.

Instructor bio

Prof. Rajiv Misra

IIT Patna

Dr. Rajiv Misra is working in Department of Computer Science and Engineering at Indian Institute of Technology Patna, India. He obtained his Ph.D degree from IIT Kharagpur, M.Tech degree in Computer Science and Engineering from the Indian Institute of Technology (IIT) Bombay, and Bachelor's of engineering degree in Computer Science from MNIT Allahabad. His research interests spanned a design of distributed algorithms for Mobile, Adhoc and Sensor Networks, Cloud Computing and Wireless Networks. He has contributed significantly to these areas and published more than 70 papers in high quality journals and conferences, and 2 book chapters. His h-index is 10 with more than 590 citations. He has authored papers in IEEE Transactions on Mobile Computing, IEEE Transaction on Parallel and Distributed Systems, IEEE Systems Journal, Adhoc Networks, Computer Network, Journal of Parallel and Distributed Computing. He has edited a book titled as “Smart Techniques for a Smarter Planet: Towards Smarter Algorithms” for the "Studies in Fuzziness and Soft Computing" book series, Springer (2018). He has supervised four Phd students and currently four Phd students working under his supervision in the area of big data, cloud computing, distributed computing, and sensor networks. He is a senior member of the IEEE and fellow of IETE. He has completed as the Principal Investigator of R&D Project Sponsored by DeiTY entitled as “Vehicular Sensor and Mesh Networks based Future ITS”. He has mentored the online courses on Cloud Computing, Advanced Graph Theory and Distributed Systems in the platform of NPTEL.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams: 23 March 2024 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kanpur .It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

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