Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints
作者： Anton Beloglazov , Rajkumar Buyya
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摘要: Dynamic consolidation of virtual machines (VMs) is an effective way to improve the utilization resources and energy efficiency in cloud data centers. Determining when it best reallocate VMs from overloaded host aspect dynamic VM that directly influences resource quality service (QoS) delivered by system. The influence on QoS explained fact server overloads cause shortages performance degradation applications. Current solutions problem overload detection are generally heuristic based, or rely statistical analysis historical data. limitations these approaches they lead suboptimal results do not allow explicit specification a goal. We propose novel approach for any known stationary workload given state configuration optimally solves maximizing mean intermigration time under specified goal based Markov chain model. heuristically adapt algorithm handle unknown nonstationary workloads using Multisize Sliding Window estimation technique. Through simulations with traces more than thousand PlanetLab VMs, we show our outperforms benchmark provides approximately 88 percent optimal offline algorithm.
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