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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:
0905308
负责人:
Sanjay Ranka
金额:
$33.99万
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
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不断升级的威胁。大规模计算网格消耗大量能源,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降低能源消耗的普遍适用的方法。该项目将开发GridPac(支持节能计算的网格),这是一个中间件环境,允许网格管理人员和服务提供商跨分布式网格调度多个工作流,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:(A)新的静态和动态调度单个和多个工作流的算法,可供服务提供商在可扩展的网格环境中灵活使用。(B)控制算法,通过对电网资源的能源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程进行广泛的基准确定。(D)一个原型中间件,以帮助IT组织在降低能源成本的同时更好地支持其用户。这项拟议的工作将在利用计算网格的同时产生原创的学术贡献。该项目具有巨大的经济、环境和社会影响潜力。我们将开设关于相关主题的新的研究生和本科生课程,并开发相关教程,这将有助于在一个至关重要的研究主题上提高认识和教育广大受众。
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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