Overview
- Introduces the first compiled state-of-the-art research findings, technologies, tools and innovations that provide sufficient reference material for researchers and practitioners in industry and academia
- Provides a comprehensive technical guide covering the introductory and advanced concepts that can serve as a reference material to graduate students in the fields of computing, engineering and computer engineering
- Provides detailed discussions on key research challenges and open research issues that are of great importance to graduate students and practitioners who intend to do research and contribute to the achievement of the goal of autonomic computing and networking
- Serves as a guideline and gives insights to professional and industrial standards organizations for developing future standards in autonomic computing, communications and networking
- Provides valuable information on existing experimental studies including case studies, simulation tools and implementation testbeds in industry and academia that can be used for validation of theories and analytical results by researchers and practitioners at various levels
- Contains illustrative figures enabling easy reading.
- Includes supplementary material: sn.pub/extras
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Table of contents (18 chapters)
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Front Matter
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Autonomic Computing
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Front Matter
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Section 1 Autonomic Computing
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Autonomic Networking
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Front Matter
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Section 2 Autonomic Networking
Keywords
About this book
Autonomic Computing and Networking presents introductory and advanced topics on autonomic computing and networking with emphasis on architectures, protocols, services, privacy & security, simulation and implementation testbeds. Autonomic computing and networking are new computing and networking paradigms that allow the creation of self-managing and self-controlling computing and networking environments using techniques such as distributed algorithms and context-awareness to dynamically control networking functions without human interventions. Autonomic networking is characterized by recovery from failures and malfunctions, agility to changing networking environment, self-optimization and self-awareness. The self-control and management features can help to overcome the growing complexity and heterogeneity of exiting communication networks and systems. The realization of fully autonomic heterogeneous networking introduces several research challenges in all aspects of computing and networking and related fields.
Bibliographic Information
Book Title: Autonomic Computing and Networking
Editors: Yan Zhang, Laurence Tianruo Yang, Mieso K. Denko
DOI: https://doi.org/10.1007/978-0-387-89828-5
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-89827-8Published: 27 May 2009
Softcover ISBN: 978-1-4419-4709-3Published: 05 November 2010
eBook ISBN: 978-0-387-89828-5Published: 12 June 2009
Edition Number: 1
Number of Pages: XIV, 458
Number of Illustrations: 75 b/w illustrations
Topics: Communications Engineering, Networks, Computer Communication Networks, Signal, Image and Speech Processing, Optimization, Coding and Information Theory