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Studies in Big Data

Cloud Computing for Optimization: Foundations, Applications, and Challenges

Editors: Mishra, B.S.P., Das, H., Dehuri, S., Jagadev, A.K. (Eds.)

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  • Includes recent research on cloud computing for optimization
  • Presents the state-of-the-art computing paradigms and advances in applications
  • Proposes future directions for both the theories and applications of optimization techniques in cloud computing in various fields
  • Highlights the methodologies for optimizing resource utilization, make-span, and energy consumption in cloud environment
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-73676-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-73675-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-08832-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Nature Inspired Optimizations in Cloud Computing: Applications and Challenges

    Nayak, Janmenjoy (et al.)

    Pages 1-26

  • Resource Allocation in Cloud Computing Using Optimization Techniques

    Shyam, Gopal Kirshna (et al.)

    Pages 27-50

  • Energy Aware Resource Allocation Model for IaaS Optimization

    Radhakrishnan, A. (et al.)

    Pages 51-71

  • A Game Theoretic Model for Cloud Federation

    Ray, Benay Kumar (et al.)

    Pages 73-97

  • Resource Provisioning Strategy for Scientific Workflows in Cloud Computing Environment

    Aron, Rajni

    Pages 99-122

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-73676-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-319-73675-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 155,99 €
price for Spain (gross)
  • ISBN 978-3-030-08832-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Cloud Computing for Optimization: Foundations, Applications, and Challenges
Editors
  • Bhabani Shankar Prasad Mishra
  • Himansu Das
  • Satchidanand Dehuri
  • Alok Kumar Jagadev
Series Title
Studies in Big Data
Series Volume
39
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-73676-1
DOI
10.1007/978-3-319-73676-1
Hardcover ISBN
978-3-319-73675-4
Softcover ISBN
978-3-030-08832-3
Series ISSN
2197-6503
Edition Number
1
Number of Pages
XIV, 463
Number of Illustrations
32 b/w illustrations, 112 illustrations in colour
Topics