Analytical and experimental evaluation of cluster-based network servers
Analytical and experimental evaluation of cluster-based network servers
复制标题
基于集群的网络服务器的分析和实验评估
DOI：
10.1023/a:1018734706376
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发表时间：
2000
期刊：
影响因子：
3.7
通讯作者：
E. V. Carrera
中科院分区：
文献类型：
--
作者：
R. Bianchini;E. V. Carrera
在本文中，我们使用解析建模和仿真来评估在工作站集群上实现的网络服务器。更具体地说，我们对集群内的位置感知请求分发的潜在好处进行建模，并根据我们使用该模型的经验评估我们设计的基于集群的服务器(称为L2)的性能。我们最重要的建模结果表明，与位置无关的服务器相比，16节点集群上的位置感知分布可以将服务器吞吐量提高多达5倍，具体取决于请求的文件的平均大小和服务器工作集的大小。我们的模拟结果表明，L2S在16个节点上实现的吞吐量低于位置感知分发的全部潜力的28%，表现优于最知名的位置感知服务器，并且扩展能力显著高于最知名的位置感知服务器。根据我们的结果以及网络服务器服务的文件正在变得越来越大和越来越多的事实，我们得出结论，我们的位置感知网络服务器应该证明其性能、可伸缩性和可用性属性非常有用。
In this paper we use analytic modeling and simulation to evaluate network servers implemented on clusters of workstations. More specifically, we model the potential benefits of locality-conscious request distribution within the cluster and evaluate the performance of a cluster-based server (called L2S) we designed in light of our experience with the model. Our most important modeling results show that locality-conscious distribution on a 16-node cluster can increase server throughput with respect to a locality-oblivious server by up to 5-fold, depending on the average size of the files requested and on the size of the server's working set. Our simulation results demonstrate that L2S achieves throughput that is within 28% of the full potential of locality-conscious distribution on 16 nodes, outperforming and significantly outscaling the best-known locality-conscious server. Based on our results and on the fact that the files serviced by network servers are becoming larger and more numerous, we conclude that our locality-conscious network server should prove very useful for its performance, scalability, and availability properties.
影响因子：
3.7
作者：
Fan, L;Cao, P;Broder, AZ
通讯作者：
Broder, AZ