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Cloud Computing for Optimization: Foundations, Applications, and Challenges

  • Book
  • © 2018

Overview

Editors:
  1. Bhabani Shankar Prasad Mishra

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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  2. Himansu Das

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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  3. Satchidananda Dehuri

    1. Department of Information and Communication Technology , Fakir Mohan University, Balasore, India

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  4. Alok Kumar Jagadev

    1. School of Computer Engineering, KIIT University, Bhubaneswar, India

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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

Part of the book series: Studies in Big Data (SBD, volume 39)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Nature Inspired Optimizations in Cloud Computing: Applications and Challenges

    • Janmenjoy Nayak, Bighnaraj Naik, A. K Jena, Rabindra K. Barik, Himansu Das
    Pages 1-26

  3. Resource Allocation in Cloud Computing Using Optimization Techniques

    • Gopal Kirshna Shyam, Ila Chandrakar
    Pages 27-50

  4. Energy Aware Resource Allocation Model for IaaS Optimization

    • A. Radhakrishnan, K. Saravanan
    Pages 51-71

  5. A Game Theoretic Model for Cloud Federation

    • Benay Kumar Ray, Sunirmal Khatua, Sarbani Roy
    Pages 73-97

  6. Resource Provisioning Strategy for Scientific Workflows in Cloud Computing Environment

    • Rajni Aron
    Pages 99-122

  7. Consolidation in Cloud Environment Using Optimization Techniques

    • Ritesh Patel
    Pages 123-151

  8. Virtual Machine Migration in Cloud Computing Performance, Issues and Optimization Methods

    • Preethi P. S. Rao, R. D. Kaustubh, Mydhili K. Nair, S. Kumaraswamy
    Pages 153-185

  9. Frameworks to Develop SLA Based Security Metrics in Cloud Environment

    • Satya Ranjan Dash, Alo Sen, Pranab Kumar Bharimalla, Bhabani Shankar Prasad Mishra
    Pages 187-206

  10. Security and Privacy at Cloud System

    • Nandita Sengupta
    Pages 207-234

  11. Optimization of Security as an Enabler for Cloud Services and Applications

    • Varun M. Deshpande, Mydhili K. Nair, Ayush Bihani
    Pages 235-270

  12. Internet of Cloud: Security and Privacy Issues

    • Allan Cook, Michael Robinson, Mohamed Amine Ferrag, Leandros A. Maglaras, Ying He, Kevin Jones et al.
    Pages 271-301

  13. A Novel Extended-Cloud Based Approach for Internet of Things

    • Amitabha Chakrabarty, Tasnia Ashrafi Heya, Md. Arshad Hossain, Sayed Erfan Arefin, Kowshik Dipta Das Joy
    Pages 303-331

  14. Data Sources and Datasets for Cloud Intrusion Detection Modeling and Evaluation

    • Abdulaziz Aldribi, Issa Traore, Belaid Moa
    Pages 333-366

  15. Fog Assisted Cloud Computing in Era of Big Data and Internet-of-Things: Systems, Architectures, and Applications

    • Rabindra K. Barik, Harishchandra Dubey, Chinmaya Misra, Debanjan Borthakur, Nicholas Constant, Sapana Ashok Sasane et al.
    Pages 367-394

  16. Secure Smart Vehicle Cloud Computing System for Smart Cities

    • Trupil Limbasiya, Debasis Das
    Pages 395-415

  17. Video Transcoding Services in Cloud Computing Environment

    • Sampa Sahoo, Bibhudatta Sahoo, Ashok Kumar Turuk
    Pages 417-433

  18. Vehicular Clouds: A Survey and Future Directions

    • Aida Ghazizadeh, Stephan Olariu
    Pages 435-463

  19. Erratum to: Secure Smart Vehicle Cloud Computing System for Smart Cities

    • Trupil Limbasiya, Debasis Das
    Pages E1-E1
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Keywords

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.

Editors and Affiliations

  • School of Computer Engineering, KIIT University, Bhubaneswar, India

    Bhabani Shankar Prasad Mishra, Himansu Das, Alok Kumar Jagadev

  • Department of Information and Communication Technology , Fakir Mohan University, Balasore, India

    Satchidananda Dehuri

Bibliographic Information

  • Book Title: Cloud Computing for Optimization: Foundations, Applications, and Challenges

  • Editors: Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadev

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-319-73676-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-73675-4Published: 06 March 2018

  • Softcover ISBN: 978-3-030-08832-3Published: 08 February 2019

  • eBook ISBN: 978-3-319-73676-1Published: 26 February 2018

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XIV, 463

  • Number of Illustrations: 32 b/w illustrations, 112 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Big Data

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