Operating System Strategies for Energy- and Resource-Aware Adaptation

能源和资源感知适应的操作系统策略

• 批准号: 0411127
• 负责人: Sandhya Dwarkadas
• 金额: $ 49.93万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0411127&HistoricalAwards=false
• 关键词: Operating; System; Strategies; Energy; Resource

National Science FoundationDistributed Systems Research CISE/CNSABSTRACTPROPOSAL NUMBER: 0411127PRINCIPAL INVESTIGATOR: Dwarkadas, SandhyaINSTITUTION: University of RochesterPROPOSAL TITLE: Operating System Strategies for Energy- and Re-source-Aware AdaptationWith increases in device capabilities, energy consumption has emerged as a large and growing concern for both mobile and server-class computers. Hard-ware designers have responded by developing devices (e.g. hard disks and net-works) that can be "powered down" (dropped into a non-operational mode) when inactive, and other devices (e.g. processor components) that can be "scaled back" (by reducing voltage or reallocating in part to other threads), to operate below their peak performance and power. To utilize such devices effectively, the operating system must dynamically "shape" the offered load. For "power down" devices it should aim for burstiness, to maximize the length of low-power inter-vals and minimize the number of costly state transitions. For "scale back" de-vices it should aim for smoothness, to leverage the nonlinear dependence of power on voltage and to avoid paying for unutilized resources. For devices with both capabilities it must balance the benefits of the two approaches.Work is addressing both existing and emerging architectures, including single-threaded, multi-threaded, and clustered processors. Expected results include (1) the characterization of server and mobile workloads in terms of behavior variability and (2) scheduler and device management strategies that combine run-time instrumentation with profiles of past behavior to model the needs of all running applications, and to match those needs to available resources. Dis-semination will be achieved via publications, students, open source software tools, and/or industry collaboration. Broader impacts will include the re-source-aware adaptation of future increasingly complex systems for improved performance and reduced energy.Dr. Brett D. FleischProgram Director, CISE/CNSJune 16, 2004..

美国国家科学基金会分布式系统研究 CISE/CNS 摘要提案编号：0411127 主要研究员：Dwarkadas, Sandhya 机构：罗切斯特大学提案标题：能源和资源感知适应的操作系统策略随着设备功能的增加，能源消耗已成为一个日益严重的问题适用于移动和服务器级计算机。硬件设计者的应对措施是开发在不活动时可以“断电”（进入非操作模式）的设备（例如硬盘和网络），以及可以“扩展”的其他设备（例如处理器组件）。 back”（通过降低电压或部分重新分配给其他线程），以低于其峰值性能和功率运行。 为了有效地利用此类设备，操作系统必须动态地“调整”所提供的负载。 对于“断电”设备，它应该以突发性为目标，最大限度地延长低功耗间隔的长度，并最大限度地减少代价高昂的状态转换次数。 对于“缩减”设备，其目标应该是平滑，利用功率对电压的非线性依赖性，并避免为未利用的资源付费。 对于具有这两种功能的设备，必须平衡两种方法的优点。工作是解决现有的和新兴的架构，包括单线程、多线程和集群处理器。 预期结果包括 (1) 在行为可变性方面描述服务器和移动工作负载的特征，以及 (2) 调度程序和设备管理策略，将运行时检测与过去行为的配置文件相结合，以对所有正在运行的应用程序的需求进行建模，并匹配这些需要可用的资源。 传播将通过出版物、学生、开源软件工具和/或行业合作来实现。 更广泛的影响将包括未来日益复杂的系统的资源意识适应，以提高性能并减少能源。 Brett D. FleischCISE/CNS 项目总监 2004 年 6 月 16 日..