Cloud Computing: Principles and Paradigms

Cloud Computing: Principles and Paradigms

Editor(s): Rajkumar Buyya, James Broberg, Andrzej Goscinski

Published Online: 3 JAN 2011 02:37PM EST

Print ISBN: 9780470887998

Online ISBN: 9780470940105

DOI: 10.1002/9780470940105

About this Book

The primary purpose of this book is to capture the state-of-the-art in Cloud Computing technologies and applications. The book will also aim to identify potential research directions and technologies that will facilitate creation a global market-place of cloud computing services supporting scientific, industrial, business, and consumer applications. We expect the book to serve as a reference for larger audience such as systems architects, practitioners, developers, new researchers and graduate level students. This area of research is relatively recent, and as such has no existing reference book that addresses it.

This book will be a timely contribution to a field that is gaining considerable research interest, momentum, and is expected to be of increasing interest to commercial developers. The book is targeted for professional computer science developers and graduate students especially at Masters level. As Cloud Computing is recognized as one of the top five emerging technologies that will have a major impact on the quality of science and society over the next 20 years, its knowledge will help position our readers at the forefront of the field.

Table of contents

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  1. Part I: Foundations

    1. Chapter 4

      The Enterprise Cloud Computing Paradigm (pages 97–120)

      Tariq Ellahi, Benoit Hudzia, Hui Li, Maik A. Lindner and Philip Robinson

  2. Part II: Infrastructure as a Service (IaaS)

    1. Chapter 6

      On the Management of Virtual Machines for Cloud Infrastructures (pages 157–191)

      Ignacio M. Llorente, Rubén S. Montero, Borja Sotomayor, David Breitgand, Alessandro Maraschini, Eliezer Levy and Benny Rochwerger

  3. Part III: Platform and Software as a Service (PaaS/IaaS)

    1. Chapter 9

      Aneka—Integration of Private and Public Clouds (pages 249–274)

      Christian Vecchiola, Xingchen Chu, Michael Mattess and Rajkumar Buyya

    2. Chapter 12

      Workflow Engine for Clouds (pages 321–344)

      Suraj Pandey, Dileban Karunamoorthy and Rajkumar Buyya

    3. Chapter 13

      Understanding Scientific Applications for Cloud Environments (pages 345–371)

      Shantenu Jha, Daniel S. Katz, Andre Luckow, Andre Merzky and Katerina Stamou

    4. Chapter 14

      The MapReduce Programming Model and Implementations (pages 373–390)

      Hai Jin, Shadi Ibrahim, Li Qi, Haijun Cao, Song Wu and Xuanhua Shi

  4. Part IV: Monitoring and Management

    1. Chapter 15

      An Architecture for Federated Cloud Computing (pages 391–411)

      Benny Rochwerger, Constantino Vázquez, David Breitgand, David Hadas, Massimo Villari, Philippe Massonet, Eliezer Levy, Alex Galis, Ignacio M. Llorente, Rubén S. Montero, Yaron Wolfsthal, Kenneth Nagin, Lars Larsson and Fermín Galán

    2. Chapter 16

      SLA Management in Cloud Computing: A Service Provider's Perspective (pages 413–436)

      Sumit Bose, Anjaneyulu Pasala, Dheepak Ramanujam A, Sridhar Murthy and Ganesan Malaiyandisamy

    3. Chapter 17

      Performance Prediction for HPC on Clouds (pages 437–456)

      Rocco Aversa, Beniamino Di Martino, Massimiliano Rak, Salvatore Venticinque and Umberto Villano

  5. Part V: Applications

    1. Chapter 21

      Resource Cloud Mashups (pages 533–548)

      Lutz Schubert, Matthias Assel, Alexander Kipp and Stefan Wesner

  6. Part VI: Governance and Case Studies

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