Autonomic computing: concepts, infrastructure, and applications
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.
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A Requirements Engineering Perspective on Autonomic
A SystemWide Perspective
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achieved adaptation agents Alchemi algorithm approach architecture AutoFlow automated automatically autonomic computing autonomic manager autonomic systems autonomous entities behavior bytecode capabilities client cluster communication complexity component manager composition configuration coordination CORBA data streaming database datacenter decentralized defined deployment described detection Distributed Computing dynamic effector emergent enable engine Enterprise Service Bus example flow framework function global Grid applications Grid Computing IEEE implementation infrastructure input integration interactions interface International Conference layer machines manageable resource mechanisms messages method metric middleware monitoring multiple n-grams NERSC operating optimization overlay overlay network Parashar performance PlanetLab platform policies problem Proceedings processor programming properties protocols provides PsEPR queue reconfiguration request requirements response rules runtime scalable scheduling Section self-configuring self-managing sensor server shown in Figure simulation specific tasks techniques tion utility Web Services workflow workload WSDL WSDM