Effective Techniques and Tools for Resource Management in Clustered Web Servers

集群Web服务器资源管理的有效技术和工具

• 批准号: 0098278
• 负责人: Evgenia Smirni
• 金额: $ 28万
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-15 至 2005-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0098278&HistoricalAwards=false
• 关键词: Effective; Techniques; Tools; Resource; Management

The explosive growth of the World Wide Web, the variety of information hosted by a given site, the rapid fluctuations in user demand, and the complexity of the preferred architectural trend are among the reasons that make increasingly challenging for system administrators to effectively mange today's complex web server systems. This proposal addresses this problem by seeking to develop smart algorithms that help performing difficult tasks such as web server cluster configuration, capacity planning, fault management and load balancing, by continuously monitoring and adapting to changes in the workload and system. Workload mointoring will provide input to analytic models whose solution will in turn be used by both off-line and on-line algorithms that can propose improved system configurations. To this end, the proposed research objectives will provide: (a) methods to derive detailed statistical workload characterizations of web servers, (b) new and efficient solutions for analytic models of systems that serve tasks drawn from heavy tail probability distributions, (c) a software tool particularly targeted to load balancing in clustered web servers, to be used by non expert modelers, including system administrators, and (d) workload-aware and system-aware algorithms that significantly improve performance and ease of web system management.

万维网的爆炸式增长、给定站点托管的信息种类繁多、用户需求的快速波动以及首选体系结构趋势的复杂性，这些都使得系统管理员在有效管理当今的复杂信息方面面临越来越大的挑战。网络服务器系统。 该提案通过寻求开发智能算法来解决这个问题，这些算法可以通过持续监控和适应工作负载和系统的变化来帮助执行困难的任务，例如网络服务器集群配置、容量规划、故障管理和负载平衡。 工作负载监控将为分析模型提供输入，而分析模型的解决方案又将被离线和在线算法使用，从而提出改进的系统配置。 为此，拟议的研究目标将提供：（a）导出网络服务器详细统计工作负载特征的方法，（b）为服务从重尾概率分布得出的任务的系统分析模型提供新的有效解决方案，（c）一种专门针对集群网络服务器中的负载平衡的软件工具，供包括系统管理员在内的非专家建模者使用；(d) 工作负载感知和系统感知算法，可显着提高网络系统管理的性能和便利性。