Internet service utilities host multiple server applications on a shared server cluster. A key challenge for these systems is to provision shared resources on demand to meet service quality targets at least cost. This paper presents a new approach to utility resource management focusing on coordinated provisioning of memory and storage resources. Our approach is model-based: it incorporates internal models of service behavior to predict the value of candidate resource allotments under changing load. The model-based approach enables the system to achieve important resource management goals, including differentiated service quality, performance isolation, storageaware caching, and proactive allocation of surplus resources to meet performance goals. Experimental results with a prototype demonstrate model-based dynamic provisioning under Web workloads with static content.
Ronald P. Doyle, Jeffrey S. Chase, Omer M. Asad, W