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Ivan Mistrik - Software Architecture for Big Data and the Cloud

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Ivan Mistrik Software Architecture for Big Data and the Cloud

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Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity.

The books editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors.

  • Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques
  • Presents case studies involving enterprise, business, and government service deployment of big data applications
  • Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

Ivan Mistrik: author's other books


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Table of Contents
List of tables
  1. Tables in Chapter 4
  2. Tables in Chapter 6
  3. Tables in Chapter 7
  4. Tables in Chapter 8
  5. Tables in Chapter 9
  6. Tables in Chapter 10
  7. Tables in Chapter 11
  8. Tables in Chapter 13
  9. Tables in Chapter 14
  10. Tables in Chapter 15
  11. Tables in Chapter 16
  12. Tables in Chapter 17
  13. Tables in Chapter 18
List of figures
  1. Figures in Chapter 2
  2. Figures in Chapter 3
  3. Figures in Chapter 4
  4. Figures in Chapter 5
  5. Figures in Chapter 6
  6. Figures in Chapter 8
  7. Figures in Chapter 9
  8. Figures in Chapter 10
  9. Figures in Chapter 11
  10. Figures in Chapter 12
  11. Figures in Chapter 13
  12. Figures in Chapter 14
  13. Figures in Chapter 15
  14. Figures in Chapter 16
  15. Figures in Chapter 17
  16. Figures in Chapter 18
Landmarks
Software Architecture for Big Data and the Cloud

First edition

Ivan Mistrik

Rami Bahsoon

Nour Ali

Maritta Heisel

Bruce Maxim

Table of Contents
Copyright

Morgan Kaufmann is an imprint of Elsevier

50 Hampshire Street, 5th Floor, Cambridge, MA 02139, United States

Copyright 2017 Elsevier Inc. All rights reserved.

No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publisher's permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions.

This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein).

Notices

Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary.

Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any information, methods, compounds, or experiments described herein. In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.

To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein.

Library of Congress Cataloging-in-Publication Data

A catalog record for this book is available from the Library of Congress

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

ISBN: 978-0-12-805467-3

For information on all Morgan Kaufmann publications visit our website at https://www.elsevier.com/books-and-journals

Publisher: Todd Green, Jonathan Simpson

Acquisition Editor: Todd Green, Jonathan Simpson

Editorial Project Manager: Lindsay Lawrence

Senior Production Project Manager: Priya Kumaraguruparan

Designer: Vicky Pearson Esser

Typeset by VTeX

Contributors

Nour Ali University of Brighton, UK

Katerina Argyraki EPFL, Switzerland

Ioannis N. Athanasiadis Wageningen University, Information Technology, Wageningen, The Netherlands

Cigdem Avci Salma Wageningen University, Information Technology, Wageningen, The Netherlands

Rami Bahsoon School of Computer Science, University of Birmingham, UK

Alistair Barros Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, QLD, Australia

Stephen Bonner Institute of Advanced Research Computing, Durham University, United Kingdom

John Brennan Institute of Advanced Research Computing, Durham University, United Kingdom

Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Australia

Bo Chen Department of Computer Science, University of Memphis, Memphis, TN, USA

Tao Chen School of Computer Science, University of Birmingham, UK

Mandy Chessell IBM, Winchester, Hampshire, United Kingdom

Jose G.F. Coutinho Imperial College London, UK

Reza Curtmola Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA

Jun Dai

Southwestern University of Finance and Economics, Chengdu, Sichuan, China

Rutgers UniversityNewark, Newark, NJ, USA

Anastasija Efremovska Vrije Universiteit Amsterdam, The Netherlands

Robert Eikermann Software Engineering, RWTH Aachen University, Aachen, Germany

Colin Fidge Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, QLD, Australia

Andrei Furda Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, QLD, Australia

Saurabh Garg School of Engineering and ICT, University of Tasmania, Tasmania, Australia

Ian Gorton Northeastern University, United States

Wilhelm Hasselbring Kiel University, Germany

Robert Heinrich Karlsruhe Institute of Technology, Germany

Maritta Heisel Universitt Duisburg-Essen, Germany

George Ioannidis EPFL, Switzerland

Anca Iordache Universit de Rennes 1, France

Reiner Jung Kiel University, Germany

Christoph Kleineweber Zuse Institute Berlin, Germany

Alexandros Koliousis Imperial College London, UK

Ibad Kureshi Institute of Advanced Research Computing, Durham University, United Kingdom

Patricia Lago Vrije Universiteit Amsterdam, The Netherlands

Markus Look Software Engineering, RWTH Aachen University, Aachen, Germany

Darshan Lopes Capgemini UK, UK

Bruce Maxim University of Michigan-Dearborn, USA

John McGlone SAP Labs, USA

Ivan Mistrik Independent Researcher, Germany

Alp Oral

Wageningen University, Information Technology, Wageningen, The Netherlands

Microsoft, Vancouver, Canada

Fiona O'Sullivan Capgemini UK, UK

Kevin Palmer Capgemini UK, UK

Guillaume Pierre Universit de Rennes 1, France

Deepak Poola The University of Melbourne, Australia

Carlos Queiroz The Association of Computing Machinery (ACM), Singapore

Carmelo Ragusa SAP, UK

Kotagiri Ramamohanarao The University of Melbourne, Australia

Ralf Reussner Karlsruhe Institute of Technology, Germany

Maria A. Rodriguez Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Australia

Alexander Roth Software Engineering, RWTH Aachen University, Aachen, Germany

Berhard Rumpe Software Engineering, RWTH Aachen University, Aachen, Germany

Mark Ryan School of Computer Science, University of Birmingham, UK

Mohsen Amini Salehi The University of Louisiana Lafayette, USA

Peter Sanders Maxeler Technologies, UK

Thorsten Schtt Zuse Institute Berlin, Germany

Mark Stillwell Imperial College London, UK

Bedir Tekinerdogan Wageningen University, Information Technology, Wageningen, The Netherlands

Georgios Theodoropoulos Institute of Advanced Research Computing, Durham University, United Kingdom

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