CSR: Small: Energy-Aware Resource Management for Networked Real-Time Embedded Systems
CSR: Small: Energy-Aware Resource Management for Networked Real-Time Embedded Systems
批准号:
1218819
负责人:
Manimaran Govindarasu
金额:
$30.0万
依托单位:
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
项目状态:
已结题
起止时间:
2012-10-01 至 2016-09-30
中文摘要
该项目为联网实时系统开发创新的能源感知资源管理算法,旨在优化系统级的能源消耗,包括计算和通信。这项研究的核心是在物理层和网络层系统地利用网络编码,以减少消息传输的数量,从而降低整体能量消耗。研究任务包括:(I)设计静态和动态工作负载的能量感知调度算法;(Ii)设计考虑工作负载和信道变化的能量感知运行时自适应算法;(Iii)通过基于模拟和基于测试床的实验相结合的方法,在各种实际工作负载下评估算法的性能,其中包括网络编码引起的各种系统开销。实时嵌入式系统结合了传感、计算和通信,在各种当前和新兴的安全和任务关键型应用中发挥着突出的作用。这类系统通常依赖电池或其他有限的能源。在这种能源有限的环境中,满足及时性和可靠性限制是一个持续的挑战。该项目研究了将“网络编码”--一种将多个信息包组合成一条消息的技术--作为降低无线通信能耗的一种手段的应用,作为更广泛的节能战略的一部分。除了有助于实现功能更丰富、寿命更长的实时应用的技术外,该项目还开发了新的课程模块,通过顶峰设计项目指导包括未被充分代表的少数族裔在内的本科生,并通过试验台演示让高中生在实时应用中接触到能源管理概念。
英文摘要
This project develops innovative energy-aware resource management algorithms for networked real-time systems, that seek to optimize system-level energy consumption, including both computation and communication. Central to this research is the systematic exploitation of network coding, both at the physical and network layers, to reduce the number of message transmissions and hence reduce the overall energy consumption. Research tasks include: (i) design of energy-aware scheduling algorithms for static and dynamic workloads; (ii) design of energy-aware run-time adaptation algorithms accounting for both workload and channel variations; (iii) performance evaluation of the algorithms through a combination of simulation- and testbed-based experiments under a variety of realistic workloads accounting for various system overheads including those that are due to network coding. Real-time embedded systems combining sensing, computation, and communication play a prominent role in a variety of current and emerging safety- and mission-critical applications. Such systems typically rely on batteries or other limited energy sources. It is a continuing challenge to satisfy timeliness and reliability constraints in such energy-limited environments. This project investigates the application of incorporating "network coding" -- a technique for combining multiple packets of information into a single message -- as a means of reducing energy consumed for wireless communication, as part of a broader strategy for energy conservation. Besides contributing to technology that will enable functionally richer and long-lived real-time applications, this project develops novel curriculum modules, mentors undergraduate students including under-represented minorities through capstone design projects, and exposes high school students to energy management concepts in real-time applications via testbed demonstrations.
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