Policy-driven autonomic management of multi-component systems

Authors:
Raphael M. Bahati;Michael A. Bauer;Elvis M. Vieira
Affiliations:
The University of Western Ontario, London, ON, Canada;The University of Western Ontario, London, ON, Canada;The University of Western Ontario, London, ON, Canada
Venue:
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
Year:
2007

Citing 9
Cited 2

Introduction to Reinforcement Learning

Introduction to Reinforcement Learning
An Adaptive Policy-Based Framework for Network Services Management

Journal of Network and Systems Management
An Artificial Intelligence Perspective on Autonomic Computing Policies

POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Utility Functions in Autonomic Systems

ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Some Experiments with the Performance of LAMP Architecture

CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
Using Policies to Drive Autonomic Management

WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Mapping Policies into Autonomic Management Actions

ICAS '06 Proceedings of the International Conference on Autonomic and Autonomous Systems
Adaptation Strategies in Policy-Driven Autonomic Management

ICAS '07 Proceedings of the Third International Conference on Autonomic and Autonomous Systems
Performance comparison of middleware architectures for generating dynamic web content

Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware

From Local Impact Functions to Global Adaptation of Service Compositions

SSS '09 Proceedings of the 11th International Symposium on Stabilization, Safety, and Security of Distributed Systems
Non-intrusive policy optimization for dependable and adaptive service-oriented systems

Proceedings of the 27th Annual ACM Symposium on Applied Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Policies have been proposed as a means to express required or desired behavior of systems and applications, and possible management actions for resolving violations, to an autonomic manager. In multi-component systems, such as e-commerce systems, independent sets of policies often deals with managing the behavior of the individual components. In turn, the autonomic management system uses the policies to make decisions on what actions to take per component when a policy is violated. During operation of these multi-component systems, however, these independent sets of policies may yield multiple directives from which the autonomic manager must select one or more appropriate actions. In this work we look at heuristics that an autonomic manager might use to select an action. We outline the design and implementation of an autonomic manager making use of these heuristics and describe our experiences with it in a dynamic Web server. Experimental results are reported comparing the effectiveness of the heuristics.