Manish Parashar, Salim Hariri
The complexity of modern computer networks and systems, combined with the extremely dynamic environments in which they operate, is beginning to outpace our ability to manage them. Taking yet another page from the biomimetics playbook, the autonomic computing paradigm mimics the human autonomic nervous system to free system developers and administrators from performing and overseeing low-level tasks. Surveying the current path toward this paradigm, Autonomic Computing: Concepts, Infrastructure, and Applications offers a comprehensive overview of state-of-the-art research and implementations in this emerging area.
This book begins by introducing the concepts and requirements of autonomic computing and exploring the architectures required to implement such a system. The focus then shifts to the approaches and infrastructures, including control-based and recipe-based concepts, followed by enabling systems, technologies, and services proposed for achieving a set of "self-*" properties, including self-configuration, self-healing, self-optimization, and self-protection. In the final section, examples of real-world implementations reflect the potential of emerging autonomic systems, such as dynamic server allocation and runtime reconfiguration and repair.
Collecting cutting-edge work and perspectives from leading experts, Autonomic Computing: Concepts, Infrastructure, and Applications reveals the progress made and outlines the future challenges still facing this exciting and dynamic field.
The complexity of modern computer networks and systems, combined with the extremely dynamic environments in which they operate, is beginning to outpace our ability to manage them. Taking yet another page from the biomimetics playbook, the autonomic computing paradigm mimics the human autonomic nervous system to free system developers and administrators from performing and overseeing low-level tasks. Surveying the current path toward this paradigm, Autonomic Computing: Concepts, Infrastructure, and Applications offers a comprehensive overview of state-of-the-art research and implementations in this emerging area.This book begins by introducing the concepts and requirements of autonomic computing and exploring the architectures required to implement such a system. The focus then shifts to the approaches and infrastructures, including control-based and recipe-based concepts, followed by enabling systems, technologies, and services proposed for achieving a set of "self-*" properties, including self-configuration, self-healing, self-optimization, and self-protection. In the final section, examples of real-world implementations reflect the potential of emerging autonomic systems, such as dynamic server allocation and runtime reconfiguration and repair.Collecting cutting-edge work and perspectives from leading experts, Autonomic Computing: Concepts, Infrastructure, and Applications reveals the progress made and outlines the future challenges still facing this exciting and dynamic field.
The Autonomic Computing Paradigm. Self-* Properties - Approaches and Infrastructures. Achieving Self-* Properties - Enabling Systems, Technologies, and Services. Realization of Self -* Properties.
Autonomic computing systems mimic the human autonomic nervous system to realize a set of "self-*" properties, including self-configuration, self-healing, self-optimization, and self-protection. This book begins by introducing the concepts and requirements of autonomic computing and exploring the architectures required to implement such a system. The focus then shifts to the approaches and infrastructures followed by enabling systems, technologies, and services proposed for achieving the self-* properties. In the final section, real-world implementations reveal the applications of emerging autonomic systems, such as dynamic server allocation and runtime reconfiguration and repair.
Introduces concepts and requirements of autonomic computing and explores the architectures required to implement such a system. This book presents examples of real-world implementations that reflect the potential of autonomic systems, such as dynamic server allocation and runtime reconfiguration and repair.
Inhaltsverzeichnis
THE AUTONOMIC COMPUTING PARADIGM Overview of Autonomic Computing: Origins, Evolution, Direction; Alan Ganek A Requirements Engineering Perspective on Autonomic Systems Development; David W. Bustard and Roy Sterritt Autonomic Computing: A System-Wide Perspective; Robbert van Renesse and Kenneth P. Birman Autonomic Grid Computing: Concepts, Requirements, and Infrastructure; Manish Parashar Architecture Overview for Autonomic Computing; John W. Sweitzer and Christine Draper SELF-* PROPERTIES - APPROACHES AND INFRASTRUCTURES A Taxonomy for Self-* Properties in Decentralized Autonomic Computing; Tom De Wolf and Tom Holvoet Exploiting Emergence in Autonomic Systems; Richard Anthony, Alun Butler, and Mohammed Ibrahim A Control-Based Approach to Autonomic Performance Management in Computing Systems; Sherif Abdelwahed and Nagarajan Kandasamy Transparent Autonomization in Composite Systems; S. Masoud Sadjadi and Philip K. McKinley Recipe-Based Service Configuration and Adaptation; Peter Steenkiste and An-Cheng Huang ACHIEVING SELF-* PROPERTIES - ENABLING SYSTEMS, TECHNOLOGIES, AND SERVICES A Programming System for Autonomic Self-Managing Applications; Hua Liu and Manish Parashar A Self-Configuring Service Composition Engine; Thomas Heinis, Cesare Pautasso, and Gustavo Alonso Dynamic Collaboration in Autonomic Computing; David M. Chess, James E. Hanson, Jeffrey O. Kephart, Ian Whalley, and Steve R. White AutoFlow: Autonomic Information Flows for Critical Information Systems; Karsten Schwan, Brian F. Cooper, Greg Eisenhauer, Ada Gavrilovska, Matt Wolf, Hasan Abbasi, Sandip Agarwala, Zhongtang Cai, Vibhore Kumar, Jay Lofstead, Mohamed Mansour, Balasubramanian Seshasayee, and Patrick Widener Scalable Management - Technologies for Management of Large-Scale, Distributed Systems; Robert Adams, Paul Brett, Subu Iyer, Dejan Milojicic, Sandro Rafaeli, and Vanish Talwar Platform Support for Autonomic Computing: A Research Vehicle; Lenitra Durham, Milan Milenkovic, Phil Cayton, and Mazin Yousif REALIZATION OF SELF-* PROPERTIES Dynamic Server Allocation for Autonomic Service Centers in the Presence of Failures; Daniel A. Menasce and Mohamed N. Bennani Effecting Runtime Reconfiguration in Managed Execution Environments; Rean Griffith, Giuseppe Valetto, and Gail Kaiser Self-Organizing Scheduling on the Organic Grid; Arjav Chakravarti, Gerald Baumgartner, and Mario Lauria Autonomic Data Streaming for High-Performance Scientific Applications; Viraj Bhat, Manish Parashar, and Nagarajan Kandasamy Autonomic Power and Performance Management of Internet Data; Bithika Khargharia and Salim Hariri Trace Analysis for Fault Detection in Application Servers; Guofei Jiang, Haifeng Chen, Cristian Ungureanu, and Kenji Yoshihira Anomaly-Based Self Protection against Network Attacks; Guangzhi Qu and Salim Hariri Index
Klappentext
Autonomic computing systems mimic the human autonomic nervous system to realize a set of "self-*" properties, including self-configuration, self-healing, self-optimization, and self-protection. This book begins by introducing the concepts and requirements of autonomic computing and exploring the architectures required to implement such a system. The focus then shifts to the approaches and infrastructures followed by enabling systems, technologies, and services proposed for achieving the self-* properties. In the final section, real-world implementations reveal the applications of emerging autonomic systems, such as dynamic server allocation and runtime reconfiguration and repair.
