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Cloud Computing

Principles, Systems and Applications

  • Book
  • © 2017

Overview

Editors:
  1. Nick Antonopoulos

    1. University of Derby, Derby, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  2. Lee Gillam

    1. University of Surrey, Guildford, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents the principles, techniques, protocols and algorithms that are used to design, develop and manage clouds
  • Describes current cloud applications, and highlights the use of cloud technologies to manage data and scientific analysis
  • Reviews methods for linking clouds and optimizing their performance
  • Includes a Foreword by Professor Omer F. Rana of Cardiff University, UK

Part of the book series: Computer Communications and Networks (CCN)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xx
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  2. General Principles

    1. Front Matter

      Pages 1-1
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    2. The Rise of Cloud Computing in the Era of Emerging Networked Society

      • Bhaskar Prasad Rimal, Ian Lumb
      Pages 3-25

    3. Mirror Mirror on the Wall, How Do I Dimension My Cloud After All?

      • Rafaelli Coutinho, Yuri Frota, Kary Ocaña, Daniel de Oliveira, Lúcia M. A. Drummond
      Pages 27-58

    4. A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges

      • José Simão, Luís Veiga
      Pages 59-98

  3. Science Cloud

    1. Front Matter

      Pages 99-99
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    2. Exploring Cloud Elasticity in Scientific Applications

      • Guilherme Galante, Rodrigo da Rosa Righi
      Pages 101-125

    3. Clouds and Reproducibility: A Way to Go to Scientific Experiments?

      • Ary H. M. de Oliveira, Daniel de Oliveira, Marta Mattoso
      Pages 127-151

    4. Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights

      • Ashiq Anjum, Sanna Aizad, Bilal Arshad, Moeez Subhani, Dominic Davies-Tagg, Tariq Abdullah et al.
      Pages 153-170

  4. Data Cloud

    1. Front Matter

      Pages 171-171
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    2. High-Performance Graph Data Management and Mining in Cloud Environments with X10

      • Miyuru Dayarathna, Toyotaro Suzumura
      Pages 173-210

    3. Implementing MapReduce Applications in Dynamic Cloud Environments

      • Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
      Pages 211-223

  5. Multi-clouds

    1. Front Matter

      Pages 225-225
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    2. Facilitating Cloud Federation Management via Data Interoperability

      • Vincent C. Emeakaroha, Phillip Healy, John P. Morrison
      Pages 227-253

    3. Applying Self-* Principles in Heterogeneous Cloud Environments

      • Ioan Drăgan, Teodor-Florin FortiÅŸ, Gabriel Iuhasz, Marian Neagul, Dana Petcu
      Pages 255-274

  6. Performance and Efficiency

    1. Front Matter

      Pages 275-275
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    2. Optimizing the Profit and QoS of Virtual Brokers in the Cloud

      • Santiago Iturriaga, Sergio Nesmachnow, Bernabé Dorronsoro
      Pages 277-300

    3. Adaptive Resource Allocation for Load Balancing in Cloud

      • Somnath Mazumdar, Alberto Scionti, Anoop S. Kumar
      Pages 301-327

    4. Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments

      • John Panneerselvam, Lu Liu, Yao Lu
      Pages 329-344

    5. Cloud-Supported Certification for Energy-Efficient Web Browsing and Services

      • Gonçalo Avelar, José Simão, Luís Veiga
      Pages 345-378
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Keywords

About this book

This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.

Editors and Affiliations

  • University of Derby, Derby, United Kingdom

    Nick Antonopoulos

  • University of Surrey, Guildford, United Kingdom

    Lee Gillam

About the editors

Prof. Nick Antonopoulos is Dean of the College of Engineering and Technology, and Head of Research Excellence at the University of Derby, UK.

Dr. Lee Gillam is Editor-in-Chief of the Journal of Cloud Computing, and Director of Learning and Teaching and Senior Lecturer in the Department of Computer Science at the University of Surrey, UK.




Bibliographic Information

  • Book Title: Cloud Computing

  • Book Subtitle: Principles, Systems and Applications

  • Editors: Nick Antonopoulos, Lee Gillam

  • Series Title: Computer Communications and Networks

  • DOI: https://doi.org/10.1007/978-3-319-54645-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-54644-5Published: 12 June 2017

  • Softcover ISBN: 978-3-319-85443-4Published: 13 May 2018

  • eBook ISBN: 978-3-319-54645-2Published: 02 June 2017

  • Series ISSN: 1617-7975

  • Series E-ISSN: 2197-8433

  • Edition Number: 2

  • Number of Pages: XX, 410

  • Number of Illustrations: 32 b/w illustrations, 73 illustrations in colour

  • Topics: System Performance and Evaluation, Performance and Reliability

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