Adaptive Management of a Utility Computing

The complexity of the high performance Web-based application challenges the traditional approaches, which fail to guarantee the reliability and real-time performance required. In this paper, we have studied the adaptive mechanisms for managing such applications and explained them based on a prototype of an adaptive application management system (AMUS) in cluster. AMUS is composed of the SLA event-driven global resource manager, the server resource manager and the self-adapting application systems based on feedback control theory. The adoption of feedback control theory supports the application resource control in the case of the resource contention and the guarantee of the QoS performance in the changing environment