Autonomic Communication
New paradigms for communication/networking systems are needed in order to tackle such emerging issues as heterogeneity, complexity and management of evolvable infrastructures, thus requiring approaches that are both task- and knowledge-driven. The network
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Athanasios V. Vasilakos • Manish Parashar Stamatis Karnouskos • Witold Pedrycz Editors
Autonomic Communication
Editors Athanasios V. Vasilakos Department of Computer and Telecommunications Engineering University of Western Macedonia Agios Dimitrios Park 501 00 Kozani Greece [email protected] Stamatis Karnouskos SAP AG Corporate Research Centre Vincent-Prießnitz-Str. 1 76131 Karlsruhe Germany [email protected]
Manish Parashar Department of Electrical and Computer Engineering Rutgers University 94 Brett Road Piscataway, NJ 08854-8058 USA [email protected] Witold Pedrycz Department of Electrical and Computer Engineering University of Alberta 9107 116 Street Edmonton, AB T6G 2V4 Canada [email protected]
ISBN 978-0-387-09752-7 e-ISBN 978-0-387-09753-4 DOI 10.1007/978-0-387-09753-4 Springer Dordrecht Heidelberg London New York Library of Congress Control Number: 2009931557 © Springer Science+Business Media, LLC 2009 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
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Foreword
As information technology becomes increasingly more sophisticated and capable, repeated studies have demonstrated that this has been matched by an increasing cost and complexity in configuring, managing and servicing such systems. Despite the obvious benefits in performance & scalability that has been provided by the ongoing evolution of faster CPUs, increased network bandwidth and storage capacity, the cost of dynamically managing the hardware, software and infrastructure has continued to rise at an alarming rate. Autonomic Computing emerged at the dawn of the 21st century out of crossindustry and academic research and development in simplifying administration, configuration, deployment and management of IT systems. Driven by a need to address what many had seen as a growing crisis in the IT industry for increased visibility, control and automation of complex IT systems, autonomic computing focuses upon providing embedded and integrated management systems that enable self-healing, self-configuration, self-optimization and selfprotection. As we move into the era of energy-aware IT systems and cloud-computing, the needs for autonomic systems have continue to evolve. Recently there has been an increased awareness of the need for efficient utilization
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