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: University of Florida
• 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=0905308&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.

大量能源消耗是对环境的升级威胁。大规模的计算网格消耗了大量的能量，其能量和冷却的能源需求正在与获取成本相提并论。缺乏通常适用的方法来减少能源消耗，同时确保良好的服务质量。该项目将开发GRIDPAC（带有功能感知计算的网格），这是一个中间件环境，它将允许网格管理人员和服务提供商在分布式网格上安排多个工作流程以进行系统范围的优化。 GridPac将基于一个新颖的框架，以支持各种任务级的工作流程。这项工作的主要特征是开发：（a）用于调度单个和多个工作流程的新颖的静态和动态算法，在可扩展的网格环境中，服务提供商可以灵活地使用它们。 （b）控制算法使用网格资源的能量监控来考虑计划的动态调整。 （c）使用一套常用的网格工作流程进行广泛的基准测试。 （d）一种原型中间件，以帮助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。该项目具有经济，环境和社会影响的巨大潜力。我们将在相关主题上启动新的研究生和本科级别的课程，并开发相关的教程，这将有助于提高意识并教育大量受众，讨论至关重要的研究主题。