Quantifying resiliency of IaaS cloud

TitleQuantifying resiliency of IaaS cloud
Publication TypeConference Proceedings
Year of Conference2010
AuthorsGhosh, R., F. Longo, V. K. Naikz, and K. S. Trivedi
Conference NameProceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS)
PublisherIEEE Computer Society
Conference LocationNew Delhi, India, 31 October - 3 November 2010
ISBN Number9780769542508
KeywordsAvailable capacity, Infrastructure as a services, Performance measure, Quality of service, Rejection rates, Response delays, Stochastic models, Stochastic reward nets

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, we 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 a IaaS cloud, we quantify the resiliency of IaaS cloud w.r.t. two key performance measures - job rejection rate and provisioning response delay. © 2010 IEEE.