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Machine Learning for Cloud Management

Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan & Rajkumar Buyya

Machine Learning for Cloud Management
Machine Learning for Cloud Management

Machine Learning for Cloud Management

Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan & Rajkumar Buyya

Paperback | English
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Description

Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The book is ideal for researchers who are working in the domain of cloud computing.



Jitendra Kumar is an assistant professor in machine learning at the National Institute of Technology Tiruchirappalli, Tamilnadu, India. He obtained his doctorate in 2019 from the National Institute of Technology Kurukshetra, Haryana, India. He is also a recipient of the Director’s medal for the first rank in the University examination at Dayalbagh Educational Institute, Agra, Uttar Pradesh in 2011. He has experience of three years in academia. He has published several research papers in international journals and conferences of high repute, including IEEE Transactions on Parallel and Distributed Systems, Information Sciences, Future Generation Computer Systems, Neurocomputing, Soft Computing, Cluster Computing, IEEE-FUZZ, etc. He has also obtained the best paper awards in two international conferences. His research interests are machine learning, cloud computing, healthcare, parallel algorithms, and optimization. He is also a review board member of several journals, including IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Access, Journal and Parallel Distributed Computing, and more.

Ashutosh Kumar Singh is an esteemed researcher and academician in the domain of Electrical and Computer engineering. Currently, he is working as a Professor; Department of Computer Applications; National Institute of Technology; Kurukshetra, India. He has more than 20 years research, teaching and administrative experience in various University systems of the India, UK, Australia and Malaysia. Dr. Singh obtained his Ph. D. degree in Electronics Engineering from Indian Institute of Technology-BHU, India; Post Doc from Department of Computer Science, University of Bristol, United Kingdom and Charted Engineer from United Kingdom. He is the recipient of Japan Society for the Promotion of Science (JSPS) fellowship for visit in University of Tokyo and other universities of Japan. His research area includes Verification, Synthesis, Design and Testing of Digital Circuits, Predictive Data Analytics, Data Security in Cloud, Web Technology. He has more than 250 publications till now which includes peer reviewed journals, books, conferences, book chapters and news magazines in these areas. He has co-authored eight books including ‘‘Web Spam Detection Application using Neural Network’’, ‘‘Digital Systems Fundamentals’’ and ‘‘Computer System Organization & Architecture’’. Prof. Singh has worked as principal investigator/investigator for six sponsored research projects and was a key member on a project from EPSRC (United Kingdom) entitled ’’Logic Verification and Synthesis in New Framework’’.

Anand Mohan has nearly 44 years of experience in teaching and research and the administration and management of higher educational institutions. He is currently an institute professor in the Department of Electronics Engineering, Indian institute of Technology (BHU), Varanasi, India. Besides his present academic assignment, Prof. Mohan is a Member of the Executive Council of Banaras Hindu University and Vice-Chairman of the Board of Governors of Indian Institute of Technology (BHU), Varanasi, India. Prof. Mohan served as Director (June 2011--June 2016) of the National Institute of Technology (NIT), Kurukshetra, Haryana, India and was also Mentor Director of the National Institute of Technology, Srinagar, Uttarakhand, India. For his outstanding contributions in the field of Electronics Engineering, Prof. Mohan was conferred the ’’Lifetime Achievement Award’’ (2016) by Kamla Nehru Institute of Technology, Sultanpur, India.

Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft Pty Ltd., a spin-off company of the University, commercialising its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He serving/served as Honorary/Visiting Professor for several elite Universities including Imperial College London (UK), University of Birmingham (UK), University of Hyderabad (India), and Tsinghua University (China). He received B.E and M.E in Computer Science and Engineering from Mysore and Bangalore Universities in 1992 and 1995 respectively; and a Doctor of Philosophy (PhD) in Computer Science and Software Engineering from Monash University, Melbourne, Australia in 2002. He was awarded Dharma Ratnakara Memorial Trust Gold Medal in 1992 for his academic excellence at the University of Mysore, India. He received Richard Merwin Award from the IEEE Computer Society (USA) for excellence in academic achievement and professional efforts in 1999. He received Leadership and Service Excellence Awards from the IEEE/ACM International Conference on High Performance Computing in 2000 and 2003. He received ‘‘Research Excellence Awards’’ from the University of Melbourne for productive and quality research in
computer science and software engineering in 2005 and 2008.

Specifications

  • Publisher
    Chapman & Hall/CRC
  • Pub date
    Nov 2021
  • Pages
    182
  • Theme
    Machine learning
  • Dimensions
    254 x 178 mm
  • Weight
    500 gram
  • EAN
    9780367622565
  • Paperback
    Paperback
  • Language
    English

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