Autonomic Computing

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adaptive software management
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Autonomic Computing
Autonomic Computing Systems
Autonomic Elements
Autonomic Systems
Business Processes
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control-based architectures
Data Generation Rate
DIOS
distributed computing theory
Distributed Hash Table
dynamic server allocation strategies
Dynamic Voltage Scaling
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Execution Environment
Grid Application
Grid Environments
Interaction Rules
Local Queue
Net Application
Net Framework
Net Remoting
Power Consumption
recipe-based automation
Rule Execution
Runtime Infrastructure
runtime reconfiguration
self-healing systems
Service Composition
Service Oriented Architecture
Vice Versa
Web Servers

Product details

  • ISBN 9780849393679
  • Weight: 929g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 Dec 2006
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.