CSR: Medium: Collaborative Research: GridPac: A Resource Management System for Energy and Performance Optimization on Computational Grids
CSR:媒介:协作研究:GridPac:计算网格能源和性能优化的资源管理系统
基本信息
- 批准号:0905187
- 负责人:
- 金额:$ 18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-01 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Massive energy consumption is an escalating threat to the environment. Large-scale computational grids consume a substantial amount of energy, and their energy requirements for powering and cooling are becoming comparable to the costs of acquisition. There is a lack of generally applicable methods for reducing energy consumption while ensuring good quality of service. This project will develop GridPac (Grid with Power-Aware Computing), a middleware environment that will allow grid managers and service providers to schedule multiple workflows across a distributed grid for system-wide optimization. GridPac will be based on a novel framework to support a variety of task-level workflows. The main features of this work are to develop: (a) Novel static and dynamic algorithms for scheduling single and multiple workflows, which can be flexibly utilized by service providers in scalable grid environments. (b) Control algorithms to account for dynamic adjustment of schedules using energy monitoring of the grid resources. (c) Extensive benchmarking using a suite of commonly used grid workflows. (d) A prototype middleware to assist IT organizations to better support their users while reducing energy costs. The proposed work will lead to original scholarly contributions while harnessing the usage of computational grids. The project carries tremendous potential for economic, environmental, and societal impact. We will initiate new graduate and undergraduate level courses on related topics, and develop relevant tutorials, which will help to create awareness and educate a large audience on a critically important research topic.
大量的能源消耗是对环境的日益严重的威胁。大规模的计算网格消耗大量的能源,其供电和冷却的能源需求正变得与采购成本相当。缺乏在确保良好服务质量的同时减少能源消耗的普遍适用的方法。该项目将开发GridPac(具有功率感知计算的网格),这是一个中间件环境,允许网格管理员和服务提供商在分布式网格上调度多个工作流,以实现系统范围的优化。GridPac将基于一个新的框架来支持各种任务级工作流。这项工作的主要特点是开发:(一)新的静态和动态算法调度单个和多个工作流,这可以灵活地利用服务提供商在可扩展的网格环境。(b)控制算法使用网格资源的能量监测来考虑调度的动态调整。(c)使用一套常用的网格工作流进行广泛的基准测试。(d)一个原型中间件,帮助IT组织更好地支持用户,同时降低能源成本。拟议的工作将导致原始的学术贡献,同时利用计算网格的使用。该项目具有巨大的经济、环境和社会影响潜力。我们将启动有关主题的新的研究生和本科生课程,并开发相关教程,这将有助于提高认识,并教育大量观众对一个至关重要的研究课题。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Kirk Cameron其他文献
Interpolation of sparse high-dimensional data
- DOI:
10.1007/s11075-020-01040-2 - 发表时间:
2020-11-13 - 期刊:
- 影响因子:2.000
- 作者:
Thomas C. H. Lux;Layne T. Watson;Tyler H. Chang;Yili Hong;Kirk Cameron - 通讯作者:
Kirk Cameron
Kirk Cameron的其他文献
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{{ truncateString('Kirk Cameron', 18)}}的其他基金
CNS: CORE: Small: iLORE: Computer Systems Performance Integrated Lineage Repository
CNS:核心:小型:iLORE:计算机系统性能集成谱系存储库
- 批准号:
1939076 - 财政年份:2019
- 资助金额:
$ 18万 - 项目类别:
Continuing Grant
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
CSR:大型:VarSys:管理高性能计算系统的可变性
- 批准号:
1838271 - 财政年份:2018
- 资助金额:
$ 18万 - 项目类别:
Continuing Grant
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
CSR:大型:VarSys:管理高性能计算系统的可变性
- 批准号:
1565314 - 财政年份:2016
- 资助金额:
$ 18万 - 项目类别:
Continuing Grant
CSR :Small: Exploiting Slowdowns for Speedup in Power-Scalable HPC Systems.
CSR:小:利用减速来提高功率可扩展 HPC 系统的速度。
- 批准号:
1422788 - 财政年份:2014
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
SHF:Small:Collaborative Research: Application-aware Energy Modeling and Power Management for Parallel and High Performance Computing
SHF:Small:协作研究:用于并行和高性能计算的应用感知能源建模和电源管理
- 批准号:
1422712 - 财政年份:2014
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
EAGER: Kinetic Computing Sculpture: A functional parallel cluster of Raspberry Pi computers that inspire computational thinking
EAGER:动能计算雕塑:激发计算思维的 Raspberry Pi 计算机功能并行集群
- 批准号:
1355955 - 财政年份:2013
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
CSR: Large: Collaborative Research: Multi-core Applications Modeling Infrastructure (MAMI)
CSR:大型:协作研究:多核应用建模基础设施 (MAMI)
- 批准号:
0910784 - 财政年份:2009
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
SGER: Metrics And Methodologies for High Performance System Energy Benchmarking
SGER:高性能系统能源基准测试的指标和方法
- 批准号:
0848670 - 财政年份:2008
- 资助金额:
$ 18万 - 项目类别:
Standard Grant
CRI: MISER: A High-performance, Power-aware Cluster
CRI:MISER:高性能、功耗感知集群
- 批准号:
0709025 - 财政年份:2007
- 资助金额:
$ 18万 - 项目类别:
Continuing Grant
CSR-AES: Thermal Conductors: Runtime software support for proactive heat management in advanced execution systems
CSR-AES:热导体:运行时软件支持高级执行系统中的主动热管理
- 批准号:
0720750 - 财政年份:2007
- 资助金额:
$ 18万 - 项目类别:
Continuing Grant
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