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Volume 10, Issue 04
Autonomic Computing
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ITJ Autonomic Computing
Intel® Technology Journal
Featuring Intel's recent
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Autonomic Computing
Volume 10    Issue 04    Published November 9, 2006
ISSN 1535-864X    DOI: 10.1535/itj.1004
Foreword
Foreword
Mazin Yousif
Principal Engineer, Corporate Technology Group, Intel Corporation
Current articles
Autonomic computing technology architectures
Platform Support of Autonomic Computing: An Evolution of Manageability Architecture
Understand the motivation behind autonomic computing, and learn about the technologies that enable autonomic capabilities and features such as discovery and asset tracking.
Service Orchestration of Intel-Based Platforms Under a Service-Oriented Infrastructure
Delve into the research on Service-Oriented Infrastructure (SOI) and key concepts that enable higher-level service orientation and autonomic computing.
Standards for Autonomic Computing
Learn about existing and emerging standards for autonomic computing in a heterogeneous world where components and platforms are supplied by different vendors.
Autonomic computing self-protection
Towards Autonomic Enterprise Security: Self-Defending Platforms, Distributed Detection, and Adaptive Feedback
Discover the key building blocks that mitigate various threat levels in the enterprise and learn how they together provide truly autonomic security for the enterprise network.
New autonomic computing usage models
Machine Learning for Adaptive Power Management
Investigate with us the machine-learning solutions that map user patterns to power-saving actions.
A Self-Managing Framework for Health Monitoring
Read about health monitoring using body-wearable bio-devices that can reduce the need for a doctor’s intervention for patient management.

Preface
Lin Chao
Publisher
Intel® Technology Journal

A fundamental tenet of autonomic computing is to increase the intelligence of individual computer components so that they become "self- managing," i.e., actively monitoring their state and taking corrective actions in accordance with overall system-management objectives. The autonomic nervous system of the human body controls bodily functions such as heart rate, breathing and blood pressure without any conscious attention on our part. The parallel notion when applied to autonomic computing is to have systems that manage themselves without active human intervention. The ultimate goal is to create self-managing computer systems.

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