vATM: vSphere Adaptive Task Management
نویسندگان
چکیده
Virtualization provides several benefits to users in the datacenter in terms of infrastructure cost savings (e.g., capital, power, space, cooling, labor). Examples include highly efficient and available resource, networking, and storage management. As many workloads have moved to virtualized environments, it is critical that vSphere handles scale and performs optimally. However, there are scenarios where the vSphere platform exhibits suboptimal performance if user-level operations are scheduled poorly. In this paper we propose a feedback-based approach to maximize the platform performance of vSphere with a gradient based hill climbing algorithm. We have implemented the gradient based hill climbing approach. Our initial results show promising performance improvements, in terms of end-to-end latency, under the vSphere environment.
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تاریخ انتشار 2012