CSR: Small: Workload Shaping for Capacity and Power Provisioning in Storage Data Centers

CSR：小型：存储数据中心容量和电源配置的工作负载调整

• 批准号: 0917157
• 负责人: Peter Varman
• 金额: $ 35万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0917157&HistoricalAwards=false
• 关键词: CSR; Small; Workload; Shaping; Capacity

Workload Shaping for Capacity and Power Provisioning in Storage Data CentersAbstractThis award is funded under the American Recovery and ReinvestmentAct of 2009 (Public Law 111-5).Tremendous growth in hosted services and data sharing are motivating a new generation of storage virtualization technologies that encompass the entire data center or ensembles of data centers. Accurate dynamic resource provisioning is critical to achieving cost-effective and environmentally-sensitive operation of these service centers in order to (i) reduce fixed costs for floor space, server hardware, and infrastructure for power distribution and cooling, (ii) lower the operational costs for management and electricity, and (iii) mitigate the hidden environmental and social costs of excessive energy use.The goals of this project are to develop effective dynamic resource provisioning and scheduling schemes for storage servers using novel workload shaping techniques to improve cost and energy consumption. The research involves the design, analysis, implementation, and performance evaluation of new algorithms for workload shaping with superior performance characteristics. This will result in significant improvements in resource provisioning, capacity prediction, and admission control, as well as energy and power consumption. Unlike traditional server scheduling techniques in which the negative effects of workload bursts affect even well-behaved portions of the workload, the proposed workload shaping approach isolates the bursts and confines their effects to localized regions using online workload decomposition and recombination.The project will support the education of graduate students in an emerging sector of Information Technology, and will also involve undergraduate engineering students in research in a topical technical area.

存储数据中心中的容量和功率供电的工作负载塑造奖项是根据2009年的《美国回收与重新投资》（Pumang Law Law 111-5）资助的。托管服务和数据共享的tremend型增长正在激励新一代存储虚拟化技术，该技术包括整个数据中心或数据中心的整个数据中心。准确的动态资源提供对于实现这些服务中心的成本效益和对环境敏感的操作至关重要使用新颖的工作负载塑料技术来提高成本和能源消耗的储存服务器。该研究涉及具有较高性能特征的新算法的设计，分析，实施和性能评估。这将导致资源供应，能力预测和入学控制以及能源和功耗的重大改善。与传统的服务器调度技术不同，工作负载爆发的负面影响甚至会影响工作负载的表现良好的部分，建议的工作负载塑形方法隔离了爆发，并将其效果局限于本地化区域，并使用在线工作负载分解和重组。该项目将支持研究生的研究生教育领域的信息技术和技术人员的研究人员，并将涉及研究生的研究人员。