| Web Cache机群缓存系统设计与实现 |
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| 引用本文： | 刘美华,曹元大,古志民. Web Cache机群缓存系统设计与实现[J]. 北京理工大学学报, 2005, 25(5): 406-410 |
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| 作者姓名： | 刘美华 曹元大 古志民 |
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| 作者单位： | 北京理工大学,信息科学技术学院计算机科学工程系,北京,100081;北京理工大学,信息科学技术学院计算机科学工程系,北京,100081;北京理工大学,信息科学技术学院计算机科学工程系,北京,100081 |
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| 基金项目： | 国家留学基金委留学基金 |
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| 摘 要： | 设计并实现一个具有较高吞吐率和命中率的Web cache机群缓存系统.在机群缓存系统里引入了单一缓存映像机制和负载平衡机制,以请求为粒度计算负载,从网络带宽、内存容量、磁盘访问率和CPU利用率等方面研究了缓存节点的处理能力,同时给出缓存节点的负载量,并构造了一个负载平衡算法.用Polygraph作为测试工具分别测试了新设计的机群缓存系统和用CARP协议实现的机群缓存系统.实验结果表明,新设计的机群缓存系统具有较好的系统性能.
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| 关 键 词： | 缓存机群 负载平衡 吞吐率 命中率 可伸缩性 |
| 文章编号： | 1001-0645(2005)05-0406-05 |
| 收稿时间： | 2004-06-10 |
| 修稿时间： | 2004-06-10 |
Design and Implementation of Web Cache-Cluster System |
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| LIU Mei-hu,CAO Yuan-da and GU Zhi-min. Design and Implementation of Web Cache-Cluster System[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2005, 25(5): 406-410 |
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| Authors: | LIU Mei-hu CAO Yuan-da GU Zhi-min |
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| Affiliation: | Department of Computer Science and Engineering,School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Department of Computer Science and Engineering,School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Department of Computer Science and Engineering,School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | A Web cache-cluster system with higher throughput and hit rate was proposed. The mechanisms of a single cache map and load balance were introduced in the system. Request was regarded as granularity to calculate load. The process power of cache-node was studied from four aspects: network bandwidth, memory capacity, disk access rate, and CPU usage. And the weighted load of cache-node was customized. Based on this, a load-balancing algorithm was proposed. Polygraph was used as a benchmark tool to test our cache cluster and the cache cluster with CARP protocol respectively. Experiment results show that the performance of our cache cluster system is much better. |
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| Keywords: | cache cluster load balancing throughput hit rate scalability |
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