| A Throughput-Driven Scheduling Algorithm of Differentiated Service for Web Cluster |
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| 作者姓名： | YAN Cai-rong SHEN Jun-yi PENG Qin-ke WAN Yong-quan |
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| 作者单位： | Software Institute, Xi＇ an Jiaotong University, Xi＇ an 710049, Shaanxi, China |
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| 基金项目： | Supported by the National Natural Science Fundation of China （60175015） |
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| 摘 要： | Requests distribution is an key technology for Web cluster server. This paper presents a throughput-driven scheduling algorithm （TDSA）. The algorithm adopts the throughput of cluster back-ends to evaluate their load and employs the neural network model to predict the future load so that the scheduling system features a self-learning capability and good adaptability to the change of load. Moreover, it separates static requests from dynamic requests to make full use of the CPU resources and takes the locality of requests into account to improve the cache hit ratio. Experimental re suits from the testing tool of WebBench^TM show better per formance for Web cluster server with TDSA than that with traditional scheduling algorithms.
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| 关 键 词： | Web聚类 调度算法 生产量 区别服务 |
| 文章编号： | 1007-1202（2006）01-0088-05 |
| 收稿时间： | 2005-04-22 |
A throughput-driven scheduling algorithm of differentiated service for web cluster |
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| YAN Cai-rong SHEN Jun-yi PENG Qin-ke WAN Yong-quan.A Throughput-Driven Scheduling Algorithm of Differentiated Service for Web Cluster[J].Wuhan University Journal of Natural Sciences,2006,11(1):88-92. |
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| Authors: | Yan Cai-rong Shen Jun-yi Pen Qin-ke Wan Yong-quan |
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| Institution: | (1) Software Institute, Xi'an Jiaotong University, 710049 Xi'an Shaanxi, China |
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| Abstract: | Requests distribution is an key technology for Web cluster server. This paper presents a throughput-driven scheduling algorithm (TDSA). The algorithm adopts the throughput of cluster back-ends to evaluate their load and employs the neural network model to predict the future load so that the scheduling system features a self-learning capability and good adaptability to the change of load. Moreover, it separates static requests from dynamic requests to make full use of the CPU resources and takes the locality of requests into account to improve the cache hit ratio. Experimental results from the testing tool of WebBench~ TM show better performance for Web cluster server with TDSA than that with traditional scheduling algorithms. |
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| Keywords: | Web cluster server throughput-driven scheduling algorithm differentiated service |
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