Handling Request Variability for QoS-Max Measures

We denote as QoS-max the control of a request processing system to try to maximize QoS qualities and we focus on external, non-intrusive approaches with statistics on readily measurable quantities. In order to do this, the controller characterizes requests in terms of response times (or resource use) and uses that characterization to try to achieve QoS-max. However, measures vary both between different requests and for different runs of the same request. In this paper we show how we incorporated these for robust statistical QoS-max control. We use a simulator and requests with varied arrival and duration distributions to show the effectiveness of the variability handling approach.