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.

存储数据中心容量和电源配置的工作负载调整摘要该奖项是根据 2009 年美国复苏和再投资法案（公法 111-5）资助的。托管服务和数据共享的巨大增长正在推动新一代存储虚拟化技术的发展，其中包括整个数据中心或数据中心群。准确的动态资源配置对于实现这些服务中心的成本效益和环境敏感型运营至关重要，以便 (i) 降低占地面积、服务器硬件以及配电和冷却基础设施的固定成本，(ii) 降低运营成本管理和电力成本，以及（iii）减轻过度能源使用的隐性环境和社会成本。该项目的目标是使用新颖的工作负载整形技术为存储服务器开发有效的动态资源配置和调度方案，以改善成本和能源消耗。该研究涉及具有卓越性能特征的工作负载整形新算法的设计、分析、实现和性能评估。这将显着改善资源配置、容量预测、准入控制以及能源和功耗。与传统的服务器调度技术不同，在传统的服务器调度技术中，工作负载突发的负面影响甚至会影响工作负载中表现良好的部分，所提出的工作负载整形方法可以隔离突发，并使用在线工作负载分解和重组将其影响限制在局部区域。该项目将支持信息技术新兴领域的研究生教育，还将让工程本科生参与专题技术领域的研究。