SMA/PDOS Collaborative Research: Design, Analysis, and Control of Adaptive Sharing Mechanisms
SMA/PDOS Collaborative Research: Design, Analysis, and Control of Adaptive Sharing Mechanisms
批准号:
0615126
负责人:
Vishal Misra
金额:
$48.6万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-08-01 至 2010-07-31
中文摘要
各种各样的系统,包括网络农场、虚拟机、多任务操作系统、网格计算系统和传感器网络,通过在它们所支持的消费者之间“共享”资源,提高了它们的可访问性、可用性、弹性和公平性。然而,探索如何共享资源的研究通常衍生出点解决方案,其中不同的资源/消费者配置需要单独设计的共享机制。例如,调度程序通常单独实现单个策略(例如:(FCFS, PS,前台,后台,最短剩余处理器时间),针对特定负载设置进行了优化,并且在情况发生变化时不易切换到另一个策略。该项目正在开发和分析自适应共享机制(asm),其中用于共享资源的机制可以动态地适应可用资源集和消费者的当前需求,从而使系统真正自治。该研究已经开始了ASMinto的模块化,根据操作的时间尺度定义了单独的组件。使用尖端的新控制理论和调度分析对各种组件进行了研究。asm的设计和分析将为完全自主系统提供理论基础,该项目将导致在服务器场、网格计算和传感器网络等不同系统中有效利用资源。
英文摘要
A wide variety of systems, including web farms, virtual machines,multi-tasking OSes, GRID computing systems, and sensor networksimprove their accessibility, availability, resilience and fairness by``sharing'' resources across the consumers they support. However,research that explores how to share resources generally derives pointsolutions, where different resource/consumer configurations requireseparately-designed sharing mechanisms. For instance, a scheduleroften has implemented separately a single policy(e.g., FCFS, PS, Foreground Background, Shortest Remaining ProcessorTime), optimized for a particular load settingand cannot easily be switched to another policy when the situation changes.This project is developing and analyzing Adaptive SharingMechanisms (ASMs) in which the mechanism used to share resourcesadapts dynamically to both the set of available resources and thecurrent needs of the consumers, such that the system is trulyautonomic. The study has been initiated with a modularization of the ASMinto separate components, defined by the timescale of operation. Astudy of the various components using both cutting edge novel controltheoretic and scheduling analyses is being performed.The design and analysis of ASMs will provide a theoreticalgrounding for fully autonomic systems, and the project will lead toefficient utilization of resources in diverse systems like serverfarms, GRID computing and Sensor Networks.
期刊论文(0)
专著(0)
科研奖励(0)
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