| Title | Quantifying resiliency of IaaS cloud |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | R Ghosh, F Longo, VK Naikz, and KS Trivedi |
| Journal | Proceedings of the IEEE Symposium on Reliable Distributed Systems |
| Start Page | 343 |
| Pagination | 343 - 347 |
| Date Published | 12/2010 |
| 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. |
| DOI | 10.1109/SRDS.2010.49 |
| Short Title | Proceedings of the IEEE Symposium on Reliable Distributed Systems |