UIE: User-Centric Interference Estimation for Cloud Applications
Seyyed Ahmad Javadi, Sagar Mehra, Bharath Kumar Reddy Vangoor, Anshul Gandhi · 2016
Interference is one of the key deterrents to cloud adoption, and is known to cause severe degradation in application performance, costing service providers in lost revenues. In this paper, we present UIE, a user-centric approach to detecting and, importantly, estimating the degree of interference experienced by user applications in the cloud. UIE employs queueing theory to model the impact of resource contention on application performance. By leveraging UIE, users can estimate the true amount of resources, including CPU, network, and I/O, allocated to their application at any given time, without any assistance from the cloud provider or hypervisor.