Mathias Björkqvist, Lydia Y. Chen, et al.
IEEE ICC 2011
Provisioning strategies relying on CPU load may be suboptimal for many applications, because the relation between CPU load and application performance can be non-linear and complex. With the knowledge of the relation between CPU load and application performance, resource provisioning strategies could be tuned to a particular application, but the required knowledge is difficut to obtain, because classic benchmarking is not suited for performance evaluation of partial-load scenarios. As a remedy, we present Showstopper, a tool capable of achieving and sustaining a predefined partial CPU load (or replay a load trace) by controlling the execution of arbitrary CPU-bound workloads. By analyzing performance interference among applications running in colocated virtual machines, we demonstrate how Showstopper enables systematic and reproducible exploration of the platform- and application-specific relation between CPU load and application performance.