ITR: Architectural Support for Service Level Agreements

ITR：服务水平协议的架构支持

• 批准号: 0312561
• 负责人: Alvin Lebeck
• 金额: $ 22万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312561&HistoricalAwards=false
• 关键词: ITR; Architectural; Support; Service; Level

LebeckArchitectural Support for Service Level AgreementsAbstractData centers comprise an integral part of today's internet-based computing infrastructure upon which society relies. Applications ranging from e-commerce and web servers to grid computing for scientific research use the computation and storage provided by data centers. By consolidating resources, including hardware and system administration, data center customers can reduce expenses. However, customers expect a reasonable level of service from data centers, even with varying demand for the services these systems provide. To maximize service across all customers, a data center can provide differentiated service levels to various applications (customers) based on a contracted Service Level Agreement (SLA).SLAs specify requirements in terms of agreed upon metrics (e.g., performance, availability, output bandwidth, server load), and they usually include several price points for different service levels. Unfortunately, with multithreaded system models (e.g., multiprocessors) simple extensions to conventional uniprocessor metrics can be misleading. The challenge is to develop metrics that bridge the gap between low-level hardware behavior and high-level metrics.The proposed research addresses this need by exploring a design space that includes SLA metrics, system models, hardware-level metrics, and implementations. The project will develop hardware-level metrics by considering both the system model and the intended use of the metric. Once the metric is defined, various hardware implementations can be explored. A case study SLA performance metric and a corresponding hardware metric called Critical Instructions Per Cycle (CIPC) have been developed. Preliminary results with full-system simulation and commercial workloads reinforce the hypothesis that metrics must capture the behavior of low-level hardware.

lebeck服务水平协议的体系结构支持摘要数据中心是当今社会所依赖的基于互联网的计算基础设施的一个组成部分。从电子商务和web服务器到用于科学研究的网格计算，应用程序都使用数据中心提供的计算和存储。通过整合资源，包括硬件和系统管理，数据中心客户可以减少开支。然而，客户期望从数据中心获得合理水平的服务，即使对这些系统提供的服务有不同的需求。为了最大限度地为所有客户提供服务，数据中心可以根据签订的服务水平协议（SLA）为各种应用程序（客户）提供不同的服务级别。sla根据商定的指标（例如，性能、可用性、输出带宽、服务器负载）指定需求，并且它们通常包含针对不同服务级别的几个价格点。不幸的是，对于多线程系统模型（例如，多处理器），对传统单处理器指标的简单扩展可能会产生误导。挑战在于开发在低级硬件行为和高级度量之间架起桥梁的度量。提出的研究通过探索包括SLA度量、系统模型、硬件级度量和实现在内的设计空间来解决这一需求。该项目将通过考虑系统模型和度量的预期用途来开发硬件级度量。一旦定义了度量，就可以探索各种硬件实现。已经开发了一个案例研究SLA性能度量和一个相应的称为每周期关键指令（CIPC）的硬件度量。全系统模拟和商业工作负载的初步结果强化了度量必须捕获底层硬件行为的假设。