Autonomous performance control of distributed applications in a heterogeneous environment
Keping Chen, Kenneth R. Mayes, John R. Gurd · Research Explorer (The University of Manchester) · 2007
A framework is proposed that dynamically adapts to resource changes in a distributed heterogeneous environment. In this framework, computational tasks are wrapped into autonomous entities which are able to control themselves locally. Global control is provided in a decentralised manner via control units which link with these local entities in hierarchies, 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, including global and local control policies, and their benefits are illustrated in terms of scalability and efficiency.