Cloud Computing for Optimization Foundations Applications and Challenges

This book PDF is perfect for those who love Technology & Engineering genre, written by Bhabani Shankar Prasad Mishra and published by Springer which was released on 26 February 2018 with total hardcover pages 463. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Cloud Computing for Optimization Foundations Applications and Challenges books below.

Cloud Computing for Optimization  Foundations  Applications  and Challenges
Author : Bhabani Shankar Prasad Mishra
File Size : 42,8 Mb
Publisher : Springer
Language : English
Release Date : 26 February 2018
ISBN : 9783319736761
Pages : 463 pages
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Cloud Computing for Optimization Foundations Applications and Challenges by Bhabani Shankar Prasad Mishra Book PDF Summary

This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems – ranging from social science to engineering sciences – can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.

Cloud Computing for Optimization  Foundations  Applications  and Challenges

This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data.

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