@proceedings {Ghosh2010343,
	title = {Quantifying resiliency of IaaS cloud},
	journal = {Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS)},
	year = {2010},
	note = {cited By 16; Conference of 29th IEEE Symposium on Reliable Distributed Systems, SRDS 2010 ; Conference Date: 31 October 2010 Through 3 November 2010; Conference Code:82914},
	pages = {343-347},
	publisher = {IEEE Computer Society},
	address = {New Delhi, India, 31 October - 3 November 2010},
	abstract = {<p>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. {\textcopyright} 2010 IEEE.</p>
},
	keywords = {Available capacity, Infrastructure as a services, Performance measure, Quality of service, Rejection rates, Response delays, Stochastic models, Stochastic reward nets},
	isbn = {9780769542508},
	issn = {10609857},
	doi = {10.1109/SRDS.2010.49},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78650562592\&partnerID=40\&md5=6542308f50d349fc7456919e658e6840},
	author = {Rahul Ghosh and Francesco Longo and Vijay K. Naikz and Kishor S. Trivedi}
}
