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Autonomic Computing
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ITJ Autonomic Computing
Intel® Technology Journal
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Autonomic Computing
Volume 10    Issue 04    Published November 9, 2006
ISSN 1535-864X    DOI: 10.1535/itj.1004.01

  Section 3 of 12  
Platform support of autonomic computing: an evolution of manageability architecture
IT Environment implications

Many current implementations of manageability were designed for an environment in which services are statically assigned to resources. As the environment changes to one where resources are dynamically allocated, management must change to address the increased complexity of the environment.

Ideally, this will be done in a way that reduces visible complexity. Rather than binding a specific service instance to a specific resource, services should be related to a class of resources. The mapping of a specific instance of a service to a particular server is best accomplished in the infrastructure.

These are two of the core components required to achieve this vision:

  1. A model. This would capture both static and dynamic states of the IT infrastructure, services, and applications, together with their relationships, resource requirements, and SLOs.
  2. Autonomics. This would enable the IT infrastructure to achieve the required SLOs by making policy-based autonomic decisions.

In the remainder of this paper, we focus on these two core components.


  Section 3 of 12  

In this article
Abstract
Information Technology overview
IT Environment implications
Model
Autonomics
Platform autonomic requirements and architecture
Intel® Active Management Technology
IT Adoption of autonomics
Summary
Acknowledgments
References
Authors' biographies
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