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In computing clouds, burstiness of a virtual machine (VM) workload widely exists in real applications, where spikes usually occur aperiodically with low frequency and short duration. This could be effectively handled through dynamically scaling up/down in a virtualization-based computing cloud; however, to minimize energy consumption, VMs are often highly consolidated with the minimum number of physical machines (PMs) used. In this case, to meet the dynamic runtime resource demands of VMs in a PM, some VMs haveto be migrated to some other PMs, which may cause potential performance degradation. In this paper, we investigate the burstinessaware server consolidation problem from the perspective of resource reservation.

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JasminePersi T, & Rajasekaran P. (2017). Burstiness of virtual machine resource reservation in Cling firefly optimizationoud us . International Journal of Intellectual Advancements and Research in Engineering Computations, 5(2), 1212–1220. Retrieved from