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Power consumption has become one of the most important design considerations for modern high density servers. To avoid system failures caused by power capacity overload or overheating, system-level power management is required. This kind of management needs to control power consumption precisely. Conventional solutions to this problem mostly rely on feedback controllers which only concern the power...
Internet traffic has a characteristic of strong correlation. This traffic characteristic greatly complicates the problem of server performance modeling and optimization. Conventional time domain analysis has limitations in the study of the impact of complex traffic on server performance, because self-similarity of Internet traffic is often characterized in frequency domain. In this paper, we present...
The eQoS framework represents a first step in a systematic approach to provisioning user- perceived page-view response time differentiation and assurance. It deploys a model predictive feedback controller approach to adjust the processing rate allocated to each class of requests dynamically in response to measured performance deviation.
It is important to guarantee client-perceived end-to-end quality of service (QoS) under heavy load conditions. Existing work focuses on network transfer time or server-side request processing time. In this paper, we propose a novel framework, eQoS, to monitor and control client-perceived response time in heavy loaded Web servers. The response time is measured with respect to Web pages that contain...
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