CSR-PDOS: Resource Allocation Optimization for Quantitative Slowdown Differentiation in Multi-tier Server Clusters

CSR-PDOS：多层服务器集群中定量减速差异化的资源分配优化

• 批准号: 0720524
• 负责人: Xiaobo Zhou
• 金额: $ 15.09万
• 依托单位: University of Colorado at Colorado Springs
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720524&HistoricalAwards=false
• 关键词: CSR; PDOS; Resource; Allocation; Optimization

Internet services have become an important class of driving applications for scalable and quality aware distributed computing technologies. Service differentiation is to provide different quality levels to satisfy requirements of Internet services by allocating resources to classified user requests in a biased way. In this research project, the investigators take an analytical and organized approach to examine resource management techniques for quantitative service differentiation in popular multi-tier server clusters. Multi-tier clusters provide new computing opportunities but also challenges such as cross-tier performance dependencies and concurrency limits. The project designs sound differentiation models that consider both system-wide resource allocation optimization and user-side fair service quality provisioning. It provides service differentiation and system performance analysis from a new important metric, slowdown, defined as the ratio of a job's delay to its service time. The deliverables are innovative resource allocation approaches for predictable and controllable service differentiation and performance isolation on multi-tier server clusters, based on the foundations of queuing theory and control theory. The significance of the research is to provide quality aware Internet computing techniques. The impacts lie in renewing the understandings of computer system performance from the unique slowdown perspective and in quality control for scalability and dependability enhancements of the distributed systems. Potential applications include an artifact against flash-crowds traffic. The research results will be disseminated to the public as published technical reports. The project will help the society develop quality aware applications and salable computing technologies for popular Internet services.

互联网服务已经成为一类重要的驱动应用程序的可伸缩性和质量感知的分布式计算技术。 服务差异化是指通过对不同的用户请求进行有偏的资源分配，提供不同的服务质量等级，以满足Internet服务的需求。 在这个研究项目中，调查人员采取分析和组织的方法来研究资源管理技术，在流行的多层服务器集群的定量服务差异化。 多层集群提供了新的计算机会，但也带来了挑战，如跨层性能依赖性和并发限制。 该项目设计了合理的差异化模型，考虑了系统范围内的资源分配优化和用户端公平的服务质量提供。它提供了服务差异化和系统性能分析，从一个新的重要指标，减速，定义为一个作业的延迟，其服务时间的比率。 交付成果是创新的资源分配方法，可预测和可控的服务差异化和性能隔离的多层服务器集群，排队论和控制理论的基础上。 本研究的意义在于提供具有质量感知的Internet计算技术。 其影响在于从独特的减速角度更新对计算机系统性能的理解，以及对分布式系统的可扩展性和可靠性增强的质量控制。 潜在的应用包括针对闪光人群交通的人工制品。 研究结果将作为已出版的技术报告向公众传播。 该项目将帮助该协会为流行的互联网服务开发质量意识应用程序和可销售的计算技术。