Nasim Beigi Mohammadi

Learn More
—Accurate availability and performance analysis are important requirements to guarantee quality of services (QoS) for cloud users. In this paper, we develop an analytical performance and availability model using interacting stochastic sub-models. Each sub-model captures a specific aspect of cloud centers. The key performance metrics such as task blocking(More)
I hereby declare that I am the sole author of this thesis. I authorize Ryerson University to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize Ryerson University to reproduce this thesis by photocopying or by other means, in total or in part, at the request of other institutions or individuals(More)
—Performance modeling of cloud computing centers is a challenging task due to complexity, shared resources and large scale of such systems. Introducing heterogeneous resources and workloads make the analysis even more complicated. In this paper, we propose a layered stochastic performance model applicable to cloud centers with wide range of heterogeneous(More)
  • 1