• Document: Handbook on Data Centers
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Handbook on Data Centers Samee U. Khan • Albert Y. Zomaya Editors Handbook on Data Centers Editors Samee U. Khan Albert Y. Zomaya Department of Electrical School of Information Technologies and Computer Engineering The University of Sydney North Dakota State University Sydney Fargo New South Wales North Dakota Australia USA ISBN 978-1-4939-2091-4 ISBN 978-1-4939-2092-1 (eBook) DOI 10.1007/978-1-4939-2092-1 Library of Congress Control Number: 2014959415 Springer New York Heidelberg Dordrecht London © Springer Science+Business Media New York 2015 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. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Preface Data centers play an important role in modern IT infrastructures. A data center is a home to computational power, storage, and applications necessary to support an enterprise business. Data centers process billions of Internet transactions every day. Nowadays, data centers are the beating hearts of the companies they serve. Large data centers with thousands of servers have been deployed by renowned ICT organi- zations, like IBM, Microsoft, Amazon, Yahoo, E-Bay, and Google, to provide cloud computing services. The phenomenal increase in the size and number of data cen- ters and resultant increase in operational cost has stimulated the research in various domains of data centers, such as energy efficiency, resource management, network- ing, and security. This detailed Handbook on Data Centers covers in a succinct and orderly manner all aspects pertaining to data centers technologies. Given the fast growing expansion of data centers, it is not surprising that a variety of methods are now available to researchers and practitioners striving to improve data center performance. This handbook aims to organize all major concepts, theories, methodologies, trends, challenges and applications of data centers into a coherent and unified repository. Moreover, the handbook provides researchers, scholars, stu- dents and professionals with a comprehensive, yet concise source of reference to data centers design, energy efficiency, resource management, and scalability issues. The handbook consists of nine parts, where each part consists of several chapters. The following topics spanning the data center technologies are covered in detail: (a) energy efficiency, (b) networking, (c) cloud computing, (d) hardware, (e) modeling and simulation, (f) security, (g) data services, (h) monitoring, and (i) resource man- agement.Each part describes the state of the art methods, as well as the extensions and novel methodologies developed recently for data centers. The first part describes energy efficiency methods for data centers and addresses the designing of energy efficient scheduling mechanisms for high performance com- puting environments. The authors have discussed energy-aware algorithms for task graph scheduling, replica placement, check-pointing, numerical processing, and to estimate energy consumption for the given workload. Also, this part addresses the problem of minimizing energy consumption with schedule length constraint on mul- ticore processors. The following chapters covers the energy efficiency aspects of data centers presented in the handbook: (a) Energy-Efficient and High-Performance v vi Preface Processing of Large-Scale Parallel Applications in Data Centers, (b) Energy-aware algorithms for task graph scheduling, replica placement and checkpoint strategies, (c) Energy efficiency in HPC Data Centers: Latest Advances to Build the Path to Exascale, (d) Techniques to achieve energy proportiona

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