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CAREER: Adaptive Resource Management in Highly Dynamic Real-Time Systems with Physical Constraints

CAREER: Adaptive Resource Management in Highly Dynamic Real-Time Systems with Physical Constraints
职业:具有物理约束的高度动态实时系统中的自适应资源管理
批准号:
0237884
负责人:
Marco Caccamo
金额:
$40.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-03-01 至 2009-02-28

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中文摘要
翻译
这个CAREER项目是一个结合研究和教育的项目,在具有物理约束的高动态实时系统的资源管理领域。新的千年预示着通信、计算和对物理环境的智能控制的融合。计算和无线技术的快速发展将使我们能够采用协作的实时节点,这些节点必须在没有人为干预的情况下运行。这些节点经常驻留在恶劣的环境中,以完成从空间监测和监视到环境保护的任务。在这一具有挑战性的愿景下,将会有高度动态和物理约束的实时节点的广泛部署,通过通信网络连接在一起。该项目旨在为动态、受限的实时系统开发新的资源管理技术。1)协同调度:探索分布式速率自适应和协同资源回收技术,以减轻高动态工作负载对不同节点上运行的紧密耦合实时协同任务的影响。2)具有速率自适应消息的优先介质访问控制(MAC):传统的MAC协议不适合通过无线网络进行实时节点协作,因为网络内交换的消息在很大程度上是周期性的,需要保证有界延迟。研究了如何对接入进行优先排序以保证有界延迟,以及如何实现分布式速率自适应。3)电源管理:该研究探讨了如何利用无线信道的可预测时间表作为使用睡眠模式限制功耗的有效方法。4)模板设计:将探索离线模板设计,以管理实时CPU和网络资源调度中的能量和热边界等多种物理约束。这个职业项目的更广泛的影响是技术和教育。该项目开发的理论和技术将产生广泛的影响,因为它们可以实现广泛的关键实时应用。该项目的教育目标是将研究成果转化为本科和研究生课程,行业赞助研讨会以及国家安全和商业部门。该教育计划旨在为本科生和研究生提供知识和技能,以确保他们在实时社区中的技术领导地位。该计划通过修改现有的本科课程和引入新的研究生课程,以及开发广泛可用的开源工具包和课程材料以供研究和教育使用来实现。
英文摘要
Caccamo0237884This CAREER project is a combined research and educational project in the area of resource management for highly dynamic real-time systems with physical constraints. The new millennium heralds the convergence of communication, computing, and intelligent control of the physical environment. The rapid advancement of computing and wireless technologies will enable us to employ cooperative real-time nodes that must operate without human intervention. These nodes frequently reside in hostile environments for accomplishing tasks ranging from space monitoring and surveillance to environmental protection. Under this challenging vision, there will be an extensive deployment of highly dynamic and physically constrained real-time node, connected together through communication networks. This project is aimed at the development of new resource management techniques for dynamic, constrained real-time systems. The research follows four avenues: 1) Collaborative scheduling: Distributed rate adaptation and collaborative resource reclaiming techniques are explored to mitigate the effects of higly dynamic workloads in a distributed system with tightly-coupled real-time collaborative tasks running on different nodes. 2) Prioritized medium access control (MAC) with rate-adaptive messages: Traditional MAC protocols are not suitable for real-time nodes collaborating through wireless networks because messages exchanged inside the network are largely periodic and need guaranteed bounded delay. This research considers how to prioritize access to guarantee bounded delay, and how to implement distributed rate adaptation. 3) Power management: The research explores how to exploit the predictable schedule of the wireless channel as an effective way to limit power consumption using sleep mode. 4) Template design: Off-line template design will be explored for managing multiple physical constraints such as energy and thermal bounds in real-time CPU and network resource scheduling.The broader impacts of this CAREER project are both technical and educational. The theory and techniques developed in this project will have a broad impact, as they enable a wide spectrum of critical real-time applications. The educational goals of the project are to transfer the research results to undergraduate and graduate courses, industry-sponsored workshops, and the national security and commercial sectors. The educational plan is aimed at providing undergraduate and graduate students knowledge and skills to ensure their technical leadership in the real-time community. This plan is realized by revising an existing undergraduate course and introducing a new graduate course, as well as developing widely-available Open Source toolkits and curriculum materials for research and educational use.
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