Computer Resource Optimization for Differentiated Customer Services

In enterprise computing, customer requests often need to be distinguished, with different request characteristics and customer’s different service requirements. In this paper, we consider a set of computer resources used by a service provider to host enterprise applications for differentiated customer services subject to a service level agreement. We present an approach for resource optimization in such an environment that minimizes the total cost of computer resources used by a service provider for such an application while satisfying the QoS metric that the response time for executing differentiated service requests is statistically bounded. That is, each ã(r)% of the time the response time is less than a pre-defined value for class r customers. This QoS metric is more realistic than the mean response time typically used in the literature. Numerical results show the applicability of the approach and validate its accuracy.