Quantifying resiliency of IaaS cloud

TitleQuantifying resiliency of IaaS cloud
Publication TypeJournal Article
Year of Publication2010
AuthorsR Ghosh, F Longo, VK Naikz, and KS Trivedi
JournalProceedings of the Ieee Symposium on Reliable Distributed Systems
Start Page343
Pagination343 - 347
Date Published12/2010
Abstract

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.

DOI10.1109/SRDS.2010.49
Short TitleProceedings of the Ieee Symposium on Reliable Distributed Systems