Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications
This book provides an overview of the problems involved in engineering scalable, elastic, and cost-efficient cloud computing services and describes the CloudScale method — a description of rescuing tools and the required steps to exploit these tools.
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Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications The CloudScale Method
Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications
Steffen Becker • Gunnar Brataas • Sebastian Lehrig Editors
Engineering Scalable, Elastic, and Cost-Efficient Cloud Computing Applications The CloudScale Method
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Editors Steffen Becker Reliable Software Systems Group University of Stuttgart Stuttgart, Germany
Gunnar Brataas Software Engineering, Safety & Security SINTEF Digital Trondheim, Norway
Sebastian Lehrig IBM Research Dublin, Ireland
ISBN 978-3-319-54285-0 DOI 10.1007/978-3-319-54286-7
ISBN 978-3-319-54286-7 (eBook)
Library of Congress Control Number: 2017937065 © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Foreword
The digitization of the world around us also impacts IT systems themselves. The increased connectivity of everything and everybody with IT services creates challenges in software design. Systems are becoming increasingly distributed, open, adaptive, dynamic, and mobile. As a consequence for software quality engineering, run-time factors are increasingly determining the quality of a system. Formerly, assumptions on the run-time context could be taken as static and hence be modeled at design time. Such models were then used in software quality analysis. Nowadays, the context and the system itself are more dynamic. The context changes, and the system, being adaptive, also reflects such changes. This means, we have no fixed moment during design when system properties are fixed and can be determined by a static analysis. For software qualit
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