CSR: Small: Energy-Aware Resource Management for Networked Real-Time Embedded Systems

CSR：小型：网络实时嵌入式系统的能源感知资源管理

• 批准号: 1218819
• 负责人: Manimaran Govindarasu
• 金额: $ 30万
• 依托单位: Iowa State University
• 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: 2012-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1218819&HistoricalAwards=false
• 关键词: CSR; Small; Energy; Aware; Resource; CSR; Small; Energy; Aware; Resource

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.

该项目为网络实时系统开发了创新的能源感知资源管理算法，这些算法旨在优化系统级别的能源消耗，包括计算和通信。这项研究的核心是在物理和网络层上对网络编码的系统开发，以减少消息传输的数量，从而减少整体能源消耗。研究任务包括：（i）静态和动态工作负载的能源感知计划调度算法的设计； （ii）设计能源感知的运行时适应算法，这些算法涉及工作量和频道变化； （iii）通过仿真和基于测试床的实验的组合在各种现实的工作负载下对算法进行性能评估，该实验核算各种系统开销，包括由于网络编码而引起的。将传感，计算和通信结合的实时嵌入式系统在各种当前和新兴的安全性和关键任务应用中起着重要作用。这样的系统通常依靠电池或其他有限的能源。在这种能量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。该项目调查了将“网络编码”合并的应用，这是一种将多个信息组合到单个消息中的技术 - 作为减少无线通信消耗的能量的一种手段，这是一种更广泛的节能策略的一部分。除了促进能够使功能更丰富和长期寿命的实时应用程序的技术做出贡献外，该项目还开发了新的课程模块，包括通过Capstone设计项目包括代表性不足的少数群体在内的导师本科生，并通过测试床展示将高中生的学生揭露在实时应用中的能源管理概念。