Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.
Approx.540 pagesApprox.540 pages
1141903228
Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.
Approx.540 pagesApprox.540 pages
182.0 In Stock
Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.

Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.

Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.

Edge/Fog Computing Paradigm: The Concept, Platforms and Applications.

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Overview

Approx.540 pagesApprox.540 pages

Product Details

ISBN-13: 9780128245071
Publisher: Elsevier Science & Technology Books
Publication date: 04/21/2022
Series: Advances in Computers , #127
Sold by: Barnes & Noble
Format: eBook
Pages: 560
File size: 19 MB
Note: This product may take a few minutes to download.

About the Author

Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience. He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.
Prof. Kavita Saini is an Experienced Program Chair with a demonstrated history of working in the higher education industry. She is skilled in Blockchain, Data Structure , Database management System, E-Learning,C and C++, and Editing. She is a strong engineering professional with a Doctor of Philosophy - PhD focused in Computer Science from Banasthali Vidyapeeth .
Prof. Chellammal Surianarayanan is currently serving as Assistant Professor in the Department of Computer Science, Bharathidasan University Constituent Arts & Science. She is a competent professional having 21 years of total experience, with 12 years of experience in Research & Development and 9 years of experience as academician. She has served for India Comnet International Chennai (Tellabs USA Client) and at Indira Gandhi Centre for Atomic Research (IGCAR), Department of Atomic Energy Government of India as Scientific Officer/E. With the work experience, she has gained expertise in development of specific need based embedded systems, semantic web services, data minging, big data.

Table of Contents

PrefacePethuru Raj Chelliah Sr., Kavita Saini and Chellammal Surianarayanan1. Exploring the Edge AI Space: The Industry Use CasesPethuru Raj Chelliah Sr. and Jenn-Wei Lin2. Edge Computing Types & AttributesSunku Ranganath3. Industry Initiatives Across Edge ComputingSunku Ranganath4. IoT-Edge Analytics for BACON Assisted Multivariate Health Data AnomalyPartha Pratim Ray and Dinesh Dash5. The Edge AI Paradigm: The Technologies, Platforms and Use CasesPethuru Raj Chelliah Sr., J Akilandeswari and M Marimuthu6. Microservices approach to edge-native applications Chellammal Surianarayanan7. Edge Data Analytics Technologies and ToolsN Jayashree8. Edge Platforms, Frameworks and ApplicationsKavita Saini9. Edge computing challenges and concernsKavita Saini10. Smart Supportable Framework- by Internet of Things (IoT) and machine learning for future agriculture Veeramuthu Venkatesh11. 5G Communication for Edge ApplicationsSumathi D12. The Future of Edge ComputingSwaroop Sonone, Mahipal Singh Sankhla, Kavita Saini, Swapnali Jadhav and Varad Nagar13. Edge Computing Security: Layered Classification of Attacks and Possible CountermeasuresG Nagarajan, Serin V. Simpson and R I. Minu14. The Blockchain Technology for IoT Edge Devices and Data SecurityAnuradha M P15. EDGE/FOG computing paradigm: the concept, platforms and ToolchainsN. Krishnaraj, Kavita Saini, A Daniel and Kiranmai Bellam16. Artificial Intelligence on Edge DevicesAnubhav Singh, Mahipal Singh Sankhla, Kavita Saini, Varad Nagar, Rushikesh Chopade, Vinay Aseri and Pritam P. Pandit17. 5G - Communication in HealthCare ApplicationR satheeshkumar18. Collaborating Fog/Edge Computing with Industry 4.0 – Architecture, Challenges and BenefitsArul Treesa Mathew19. The Integration of Blockchain and IoT Edge Devices for Smart Agriculture: The Challenges and Use CasesSwati Nigam
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