CloudVal: A framework for validation of virtualization environment in cloud infrastructure
Cuong Pham, Daniel Chen, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Abstract
Cuong Pham, Daniel Chen, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Abstract
We present CloudVal, a framework to validate the reliability of virtualization environment in Cloud Computing infrastructure. A case study, based on injecting faults in the KVM hypervisor and Xen hypervisor, was conducted to show the viability of the framework. The study shows that due to the architectural differences between KVM and Xen, a direct comparison of the two virtualization systems is not feasible. In order to confidently weigh error resiliency of virtualization systems, more comprehensive studies are required. We believe, however, that the fault injection approach and the fault models proposed in this paper are a good starting point towards designing and implementing a benchmark which would enable the assessment of different virtualization infrastructures in a common manner.
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We present CloudVal, a framework to validate the reliability of virtualization environment in Cloud Computing infrastructure. A case study, based on injecting faults in the KVM hypervisor and Xen hypervisor, was conducted to show the viability of the framework. The study shows that due to the architectural differences between KVM and Xen, a direct comparison of the two virtualization systems is not feasible. In order to confidently weigh error resiliency of virtualization systems, more comprehensive studies are required. We believe, however, that the fault injection approach and the fault models proposed in this paper are a good starting point towards designing and implementing a benchmark which would enable the assessment of different virtualization infrastructures in a common manner.
Key concepts: Hypervisor, Virtualization, Computer science, Cloud computing, Operating system, Benchmark (surveying), Virtual machine, Reliability (semiconductor)