Quantifying resiliency of IaaS cloud
| Title | Quantifying resiliency of IaaS cloud |
| Publication Type | Conference Proceedings |
| Year of Conference | 2010 |
| Authors | Ghosh, R., F. Longo, V. K. Naikz, and K. S. Trivedi |
| Conference Name | Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS) |
| Pagination | 343-347 |
| Publisher | IEEE Computer Society |
| Conference Location | New Delhi, India, 31 October - 3 November 2010 |
| ISBN Number | 9780769542508 |
| ISBN | 10609857 |
| Keywords | Available capacity, Infrastructure as a services, Performance measure, Quality of service, Rejection rates, Response delays, Stochastic models, Stochastic reward nets |
| 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. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-78650562592&partnerID=40&md5=6542308f50d349fc7456919e658e6840 |
| DOI | 10.1109/SRDS.2010.49 |