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CSR: Medium: Collaborative Research: GridPac: A Resource Management System for Energy and Performance Optimization on Computational Grids

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
批准号:
0905187
负责人:
Kirk Cameron
金额:
$18.0万
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
项目状态:
已结题
起止时间:
2009-09-01 至 2014-08-31

项目摘要

项目成果

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中文摘要
翻译
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。
英文摘要
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.
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