Data Mining in Adaptive Control of Distributed Computing System Performance
The Distributed Computing Systems are significant building blocks in design and implementation of the business critical applications. It is always important for such environments to provide high performance for all kinds of workload variations. There are different solutions identified to deal with the performance problems in Distributed environments. There are recent investigations in exploring the feedback control based solutions in various computing environments. The self-managing capabilities are inherent qualities of Adaptive Control and such mechanisms are investigated to address performance problems in computing including distributed computing systems.