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An Autonomic Framework for Service Configuration

Authors:
Patcharee Thongtra
Finn Arve Aagesen

Keywords: Autonomic, Service configuration, Policy, Autonomic Elements

Abstract:
An autonomic framework for service configuration functionality is proposed. The framework has goals and policies. Goals express required performance and income measures. Policies define actions in states with unwanted performance and income measures. All functionality is executed by autonomic elements (AEs) that have ability to download and execute behavior specifications during run-time. An AE has several generic functionality components. Two important generic components of an AE are Judge and Strategist. A Strategist selects actions in a state with unwanted performance and income measures to reach a state defined by goal performance and income measures. A Judge gives rewards to actions based on the ability to move towards a state with goal performance and income measures. The Strategist’s selection of actions is based on the rewards given by the Judge. AE functionality is realized by the combination of Extended Finite State Machines (EFSM), a Reasoning Machine (RM) and a Learning Machine (LM). A case study of an adaptable streaming system is presented. Using the proposed model, the streaming system can select actions for capability allocation adaptation more appropriately as evaluated by the performance and income measure results.

Pages: 116 to 124

Copyright: Copyright (c) IARIA, 2011

Publication date: June 19, 2011

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-139-7

Location: Luxembourg City, Luxembourg

Dates: from June 19, 2011 to June 24, 2011