Date Added: Aug 2010
Cloud based services may experience changes - internal, external, large, small - at any time. Predicting and quantifying the effects on the quality-of-service during and after a change are important in the resiliency assessment of a cloud based service. In this paper, the authors quantify the resiliency of Infrastructure-as-a-Service (IaaS) cloud when subject to changes in demand and available capacity. Using a stochastic reward net based model for provisioning and servicing requests in an IaaS cloud, they quantify the resiliency of IaaS cloud w.r.t. two key performance measures - job rejection rate and provisioning response delay.