Interacting Stochastic Models Approach for Performability Analysis of IaaS Cloud

In this paper, we describe an analytical modeling approach for performability analysis of cloud provided services. We use infrastructure-as-a-service as an example of a cloud based service, where service availability and provisioning response delays are key service level agreements (SLAs) to users while cost reductions are important to service providers. A novelty of our approach is in reducing the complexity of the analysis by dividing the overall model into multiple interacting sub-models and then obtaining the overall solution by iteration over submodel solutions. This results in a high fidelity model that is scalable. We summarize our modeling approach, showcase our ongoing work through initial results and outline future avenues of research using such an approach.

By: Rahul Ghosh; Kishor S. Trivedi; Vijay K. Naik; Dong Seong Kim

Published in: RC25050 in 2010

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