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Quantifying resiliency of IaaS cloud

Publication ,  Journal Article
Ghosh, R; Longo, F; Naikz, VK; Trivedi, KS
Published in: Proceedings of the IEEE Symposium on Reliable Distributed Systems
December 30, 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, 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.

Duke Scholars

Published In

Proceedings of the IEEE Symposium on Reliable Distributed Systems

DOI

ISSN

1060-9857

Publication Date

December 30, 2010

Start / End Page

343 / 347
 

Citation

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Ghosh, R., Longo, F., Naikz, V. K., & Trivedi, K. S. (2010). Quantifying resiliency of IaaS cloud. Proceedings of the IEEE Symposium on Reliable Distributed Systems, 343–347. https://doi.org/10.1109/SRDS.2010.49
Ghosh, R., F. Longo, V. K. Naikz, and K. S. Trivedi. “Quantifying resiliency of IaaS cloud.” Proceedings of the IEEE Symposium on Reliable Distributed Systems, December 30, 2010, 343–47. https://doi.org/10.1109/SRDS.2010.49.
Ghosh R, Longo F, Naikz VK, Trivedi KS. Quantifying resiliency of IaaS cloud. Proceedings of the IEEE Symposium on Reliable Distributed Systems. 2010 Dec 30;343–7.
Ghosh, R., et al. “Quantifying resiliency of IaaS cloud.” Proceedings of the IEEE Symposium on Reliable Distributed Systems, Dec. 2010, pp. 343–47. Scopus, doi:10.1109/SRDS.2010.49.
Ghosh R, Longo F, Naikz VK, Trivedi KS. Quantifying resiliency of IaaS cloud. Proceedings of the IEEE Symposium on Reliable Distributed Systems. 2010 Dec 30;343–347.

Published In

Proceedings of the IEEE Symposium on Reliable Distributed Systems

DOI

ISSN

1060-9857

Publication Date

December 30, 2010

Start / End Page

343 / 347