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

提出的研究项目的主要目标是开发针对异质云计算环境的电源优化策略设计的整体方法。重点将探讨云计算物理基础设施之间的权衡，包括电源管理的服务器和冷却技术、虚拟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不同，跨层设计通过分段方法获得解决方案，分层体系结构用于将云计算能源优化转换为扩展的单调规划问题，并推导出全局能源优化策略的系统分析和设计，根据该策略，给定层的能源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则。该推广计划建立在匹兹堡大学现有的少数族裔和代表性不足的项目的基础上，以招聘和留住不同群体的本科生和研究生，并寻求与工业机构建立合作，以利用它们的教育项目和云基础设施来推进研究项目议程。

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.