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Adaptive QoS Control Based on Benefit Optimization for Video Servers Providing Differentiated Services |
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| Authors: | Ing-Ray Chen Sheng-Tun Li I-Ling Yen |
| Affiliation: | (1) Department of Computer Science, Virginia Tech, Northern Virginia Graduate Center, 7054 Haycock Road, Falls Church, VA, 22043 USA;(2) Institute of Information Management, National Cheng Kung University, 1 University Road, Tainan, Taiwan, Republic of China;(3) Department of Computer Science, University of Texas at Dallas, Arlington, Texas, USA |
| Abstract: | We propose and analyze quality of service (QoS) control algorithms for video servers designed to provide differentiated video streaming services. The design concepts are based on resource reservation and benefit optimization so that resources are reserved dynamically and adaptively for different QoS levels in response to the changing workload of the system, with the objective of maximizing the benefit throughput obtainable by the system. We analyze the benefit throughput obtainable by the system for a baseline algorithm for which the QoS levels of admitted users are not changed during the service lifetime and a greedy algorithm that may raise QoS levels of admitted users due to resources being free from departure events. We validate the design of these two QoS control algorithms via a detailed simulation study. |
| Keywords: | video servers quality of service (QoS) QoS negotiation streaming video admission control disk scheduling data placement |
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