Algorithmic Support for Temperature Aware Computing and Networking

温度感知计算和网络的算法支持

• 批准号: 0448196
• 负责人: Kirk Pruhs
• 金额: --
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0448196&HistoricalAwards=false
• 关键词: Algorithmic; Support; Temperature; Aware; Computing

Recently, it has been recognized that power management to control temperature is vitally important. In fact, in May Intel abruptly announced that it had scrapped the development of two new computer chips (code named Tejas and Jayhawk) for desktops/servers in order to rush to the marketplace a more efficient chip technology more than a year ahead of schedule. Analysts said the move showed how eager the world's largest chip maker was to cut back on the heat its chips generate. Intel's method of cranking up chip speed was beginning to require expensive and noisy cooling systems for computers. There is an extensive literature on power management in computing devices, and there is an extensive literature on power management in ad-hoc and sensor networks. Yet almost all of this literature focuses on power management to conserve energy, and not on power management to reduce temperature. Temperature and energy are different physical entities with quite different properties. Bluntly, if the processor in your mobile device exceeds its energy bound, your battery is exhausted, but if your mobile device exceeds it thermal threshold, your processor dies.The need to manage power to reduce temperature will become increasingly important as device power consumption is growing exponentially, and as ad-hoc and sensor networks become more prevalent. We propose to reexamine power management problems from a temperature perspective to try to better understand the difference between managing power to conserve energy and managing power to minimize temperature. We plan to start with speed scaling problems within devices and with routing problems in ad-hoc networks. It is anticipated that this project will produce novel optimization techniques and analytical results that will be useful in the design of temperature-efficient protocols for large-scale ad-hoc and sensor networks. The work will be a joint inter-disciplinary effort, involving investigators with expertise in on-line algorithm design and in network protocol design and development. It is further anticipated that the project will provide students with a unique opportunity to investigate and experiment with new ways of thinking about important design parameters for this emerging class of networks.

最近，人们认识到控制温度的电源管理至关重要。事实上，今年五月，英特尔突然宣布放弃开发两种用于台式机/服务器的新型计算机芯片（代号为Tejas和Jayhawk），以便提前一年多将更高效的芯片技术推向市场。分析师表示，此举表明这家全球最大芯片制造商多么渴望减少芯片产生的热量。英特尔提高芯片速度的方法开始需要昂贵且噪音较大的计算机冷却系统。 有大量关于计算设备中的电源管理的文献，也有大量关于自组织网络和传感器网络中的电源管理的文献。然而，几乎所有这些文献都侧重于节能的电源管理，而不是降低温度的电源管理。温度和能量是不同的物理实体，具有完全不同的特性。坦率地说，如果移动设备中的处理器超过其能量限制，您的电池就会耗尽，但如果您的移动设备超过其热阈值，您的处理器就会死亡。随着设备功耗的增加，管理电源以降低温度的需求将变得越来越重要。随着临时网络和传感器网络变得更加普遍，呈指数级增长。我们建议从温度角度重新审视电源管理问题，以更好地理解管理电源以节省能源和管理电源以最大限度地降低温度之间的区别。我们计划从设备内的速度扩展问题和自组织网络中的路由问题开始。预计该项目将产生新颖的优化技术和分析结果，这些技术和分析结果将有助于设计大规模自组织网络和传感器网络的温度高效协议。这项工作将是跨学科的联合工作，涉及具有在线算法设计以及网络协议设计和开发专业知识的研究人员。进一步预计该项目将为学生提供一个独特的机会来研究和实验思考此类新兴网络的重要设计参数的新方法。