EAGER: A Framework for joint optimization of power management and performance in virtualized, heterogeneous cloud computing environments

EAGER：虚拟化异构云计算环境中电源管理和性能联合优化的框架

基本信息

批准号：
1253218
负责人：
Kirk Pruhs
金额：
$ 18.8万
依托单位：
University of Pittsburgh
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-01 至 2015-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1253218&HistoricalAwards=false
关键词：
EAGER Framework joint optimization power

项目摘要

The main objective of the proposed research project is to develop holistic approaches to the design of power optimization strategies for heterogeneous cloud computing environment. The focus will be on exploring the tradeoffs among the cloud computing physical infrastructure, including power-managed servers and cooling technology, virtualized infrastructure, and the middleware and service infrastructure. Contrary to cross-layer designs for energy optimization, where solutions are obtained through piecemeal approaches, the layered architecture is used to cast cloud computing energy optimization as an extended monotropic programming problem and derive a systematic analysis and design of global energy optimization strategies, whereby energy policy at a given layer uses subsets of the decision variables to achieve individual optimality and reduce the impact of carbon footprint on the environment. The research project provides a unique opportunity for graduate and undergraduate students to gain deep understanding of the basic science and engineering design principles of cloud computing and energy consumption in data centers. The outreach plan builds on existing minority and under-represented programs at the University of Pittsburgh to recruit and retain a diverse population of undergraduate and graduate students, and also seeks to establish collaborations with industrial institutions to leverage their educational programs and cloud infrastructure to advance the research project agenda.

拟议研究项目的主要目标是开发异构云计算环境的功耗优化策略设计的整体方法。重点将放在探索云计算物理基础设施之间的权衡，包括电源管理服务器和冷却技术、虚拟化基础设施以及中间件和服务基础设施。与能源优化的跨层设计通过零碎的方法获得解决方案相反，分层架构用于将云计算能源优化视为扩展的单向规划问题，并导出全局能源优化策略的系统分析和设计，从而能源给定层的政策使用决策变量的子集来实现个体最优并减少碳足迹对环境的影响。该研究项目为研究生和本科生提供了一个独特的机会，让他们深入了解云计算和数据中心能耗的基本科学和工程设计原理。该外展计划以匹兹堡大学现有的少数族裔和代表性不足项目为基础，旨在招募和留住多元化的本科生和研究生，并寻求与工业机构建立合作，利用其教育项目和云基础设施来推动研究项目议程。