Edge Computing (Advances in Industry 4.0 and Machine Learning). This item is unavailable.Edge Computing (Advances in Industry 4.0 and Machine Learning)

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies.

The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication.

Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text:

• Discusses edge data storage security with case studies and blockchain integration with the edge computing system
• Covers theoretical methods with the help of applications, use cases, case studies, and examples
• Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption
• Discusses real-time interfaces, devices, and simulators in detail

Dr K Anitha Kumari is working as an Associate Professor in Department of IT for past 10 Years in PSG College of Technology, India. She is Highly Passionate and curious about Learning New stuffs in New Generation Computing Technologies. As an Independent Researcher, she had an Opportunity to present her UGC sponsored Research Paper based on Quantum Cryptography in USA and visited a few Foreign Universities. To her credit, she had Published a PATENT and 60 Technical Papers in refereed and Impact Factored International/National Journals/Conferences published by IEEE, Elsevier, Springer, T&F, etc.,.Out of her Research interest, she published a Book in "Edge Computing: Fundamentals, Advances and Applications" by CRC Press and contributed several Book Chapters published by CRC Press, Springer, IGI Global, etc., Currently she’s being the Programme Coordinator of ME [Biometrics and Cyber Security] programme and coordinated PSG CARE Sponsored One Year Certification Course on Cyber Security [Jan-Dec 2020]. She’s also serving as Editorial Member for Scopus-indexed/Open-access Journals like International Journal of Education, Science, Technology, and Engineering, International Journal of Artificial Intelligence, Decision Making: Applications in Management and Engineering, etc., and acting as SPOC for the MoU signed between PSG and SETS Laboratory, Chennai. Also, she’s been an Active Reviewer for Prestigious Journals published by IEEE (IEEE Communications Surveys and Tutorials (IF: 20.230), IEEE Transactions on Industrial Informatics (IF: 5.43)), IEEE Access, Springer, Wiley, etc., and Technical Program Committee (TPC) for many International/National conferences. Her areas of interest include Cloud & IoT Security, Design and Analysis of Security Protocols, Attacks & Defense, Security in Computing, Bioinformatics, Quantum Cryptography, Web Service Security, Network Security, Cognitive Security and Analysis of Algorithms. She delivered ample Guest Lectures in her Area of Interest. Her security project is sanctioned and granted by AICTE for a sum of Rs.11,80,000/-. She’s been the mentor for Technovator Projects (2019, 2018 & 2014) and ‘MEDROIDZ’, an ICICI – Trinity 2014 funded project that was selected as one among the 6 projects in India. Academically, she has secured RANK-I and awarded Gold Medal in ME (SE) & in BE (CSE) from Anna University and from Avinashilingam University. As a Supervisor, she is currently guiding PhD scholars in her research area. You may contact her at anitha.psgsoft@gmail.com / kak.it@psgtech.ac.in.

Dr G Sudha Sadasivam is working as a Professor and Heading the Department of CSE at PSG College of Technology. She has 22 years of teaching experience. She has published 5 books and 20 papers in indexed journals. She has coordinated two AICTE-RPS projects and a UGC sponsored project in the areas of distributed computing. She is the coordinator of PSG-Yahoo research in grid and cloud computing, Nokia Research on Personalisation, Xurmo Research in social networking and Cloudera project on VM migration in federated Cloud Environment. Her team has set up PSG-Yahoo/Nokia lab on Big Data Analytics at PSG College of Technology. Her areas of interest include Distributed Computing and Big Data Analytics.

Ms D Dharani is working as an Assistant Professor in Department of IT in PSG College of Technology, India. She received her M.Tech degree in Information Technology in the year 2016 and B.Tech degree in Information Technology in the year 2014 from Anna University, Chennai and is currently pursuing Ph.D in Information and Communication Technology under Anna University, Chennai. She had published papers in International/National Journals/Conferences. She had also co-authored a book chapter entitled COVID-19: AI-Enabled Social Distancing Detector using CNN and has been published by Springer. She had completed PSG CARE Sponsored One year Certification Course on Data Science. She had successfully completed NPTEL and Coursera certification courses on Blockchain. Her research interest includes areas of Blockchain Technology, Edge Data Analytics and Machine Learning.

Dr. M. Niranjanamurthy is working as Assistant Professor in Department of Computer Applications, M S Ramaiah Institute of Technology, Bangalore, Karnataka. Having 12* years of teaching experience and 2 years of industry experience as a Software Engineer. He has published 6 books in Scholars Press Germany, Wiley-SP, Springer and around 70* research articles in various International Conferences and International Journals. TO his credit, he filed 18 Patents in that 3 were granted. He’s being Research supervisor for four Ph.D. scholars in the area of Data Science, ML, and Networking. He is working as a reviewer in 22 International Journals. Two times got Best Research journal reviewer award. He Got Researcher award- Computer Science Engineering – 2018, 2019, 2020. He worked as National/ International Ph.D. examiner. He conducted various National and International Conferences, National Level workshops and Delivered Lectures. He is associated with various professional bodies like IEEE Member, Life Membership of "International Association of Engineers" (IAENG), Membership of "Computer Science Teachers Association" (CSTA). His areas of interest are Data Science, ML, E-Commerce and M-Commerce related to Industry Internal tool enhancement, Software Testing, Software Engineering, Web Services, Web-Technologies, Cloud Computing, Big data analytics, Networking.