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Understanding Performance Interference of I/O Workload in Virtualized Cloud Environments
2010
2010 IEEE 3rd International Conference on Cloud Computing
Server virtualization offers the ability to slice large, underutilized physical servers into smaller, parallel virtual machines (VMs), enabling diverse applications to run in isolated environments on a shared hardware platform. Effective management of virtualized cloud environments introduces new and unique challenges, such as efficient CPU scheduling for virtual machines, effective allocation of virtual machines to handle both CPU intensive and I/O intensive workloads. Although a fair number
doi:10.1109/cloud.2010.65
dblp:conf/IEEEcloud/PuLMSKP10
fatcat:s5zmsjgcqbecrfafmt3tjdqjda