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: 0905196
• 负责人: Ishfaq Ahmad
• 金额: $ 34万
• 依托单位: University of Texas at Arlington
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0905196&HistoricalAwards=false
• 关键词: CSR; Medium; Collaborative; Research; GridPac

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.

大量的能源消耗对环境构成了日益严重的威胁。大规模计算网格消耗大量能源，其供电和冷却的能源需求与采购成本相当。缺乏普遍适用的方法来降低能源消耗，同时确保良好的服务质量。该项目将开发 GridPac（具有功耗感知计算的网格），这是一种中间件环境，允许网格管理者和服务提供商在分布式网格上安排多个工作流程，以实现系统范围的优化。 GridPac 将基于一个新颖的框架来支持各种任务级工作流程。这项工作的主要特点是开发：（a）用于调度单个和多个工作流的新颖的静态和动态算法，服务提供商可以在可扩展的网格环境中灵活地利用这些算法。 (b) 控制算法，以利用电网资源的能量监测来动态调整时间表。 (c) 使用一套常用的网格工作流程进行广泛的基准测试。 (d) 原型中间件，可帮助 IT 组织更好地支持其用户，同时降低能源成本。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。我们将启动有关相关主题的新研究生和本科生课程，并开发相关教程，这将有助于提高人们对这一至关重要的研究主题的认识并教育广大受众。