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Approach to policy execution in autonomic manager
Written by:
Hoi Chan,
Dinesh Verma,
Alla Segal, Bill Arnold,
James Giles,
Dakshi Agrawal,
and
David Olshefski.
Citation:
Proceedings of ACM Workshop on Algorithms and Architectures for
Self-Managing Systems, June 2003.
Copyright © (2003) by by Association for Computing Machinery,
Inc. Permission to make digital or hard copies of part of all of this
work for personal or classroom use is granted without fee provided that
copies are not made or distributed for profit or commercial advantage. To
copy otherwise, to republish, to post on servers, or to redistribute to
lists, requires prior specific permission and/or a fee.
Abstract:
IBM Research is developing an Autonomic Manager Toolkit (AMTK)
which supplies components and infrastructure to simplify the
incorporation of autonomic functions into applications. In this
report, we describe the Autonomic Computing (AC) requirements for
policy tooling, policy management, the execution and data models for
policy driven applications, and how the design and implementation of
the AMTK policy evaluation system provides a policy execution
infrastructure with the flexibility and extensibility to meet the
needs that autonomic managers have for policy tooling.
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