Research Article
Autonomous Performance Control of Distributed Applications in a Heterogeneous Environment
@INPROCEEDINGS{10.4108/ICST.AUTONOMICS2007.2201, author={Keping Chen and Kenneth R. Mayes and John R. Gurd}, title={Autonomous Performance Control of Distributed Applications in a Heterogeneous Environment}, proceedings={1st International ICST Conference on Autonomic Computing and Communication Systems}, publisher={ICST}, proceedings_a={AUTONOMICS}, year={2007}, month={10}, keywords={performance control adaptivity load balance awareness}, doi={10.4108/ICST.AUTONOMICS2007.2201} }- Keping Chen
Kenneth R. Mayes
John R. Gurd
Year: 2007
Autonomous Performance Control of Distributed Applications in a Heterogeneous Environment
AUTONOMICS
ICST
DOI: 10.4108/ICST.AUTONOMICS2007.2201
Abstract
A framework is proposed that dynamically adapts to re- source changes in a distributed heterogeneous environment. In this framework, computational tasks are wrapped into autonomous entities which are able to control themselves lo- cally. Global control is provided in a decentralised manner via control units which link with these local entities in hier- archies, monitor them and coordinate their behaviour. With these mechanisms, the framework controls performance of a distributed application in a heterogeneous environment by adjusting load balance and adapting to resource changes. Fault tolerance is provided, being viewed as a special case of performance loss. Mixed strategies are applied, includ- ing global and local control policies, and their benefits are illustrated in terms of scalability and efficiency.