Compiler Schemes for Server-assisted Energy-efficient Mobile Computing on Handheld Devices

手持设备上服务器辅助节能移动计算的编译器方案

• 批准号: 0208760
• 负责人: Zhiyuan Li
• 金额: $ 24.96万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0208760&HistoricalAwards=false
• 关键词: Compiler; Schemes; Server; assisted; Energy

Handheld computing devices with wireless network connections have a great potential to be powerful mobile tools to access information and software resources in the networked world. Unfortunately, the computing power and connection time of current handheld devices are severely constrained by the short battery life. Moreover, the battery issue also places constraints on various design aspects including program memory and secondary storage, CPU, and operating system. With connection to computing servers through wireless networks, there exist many opportunities for handheld devices to save battery by carefully utilizing the power of the servers. This project explores compiler and run-time techniques to assist the partitioning of application programs into server tasks and client tasks. The optimal partition depends on available network bandwidth and on the nature of applications. In order for handheld devices to optimally exploit servers for a wide range of applications, careful tradeoff is made between energy consumed by network communication versus computation. The proposed compiler techniques and run-time support include compile-time and run-time analysis of work and communication requirement, exploitation of low-power networking states on handhelds, run-time decision-making, and a light-weight software coherence mechanism.

具有无线网络连接的手持计算设备具有很大的潜力，可以成为在网络世界中访问信息和软件资源的强大移动工具。不幸的是，当前手持设备的计算能力和连接时间受到电池寿命短的严重限制。此外，电池问题也给各种设计方面带来了限制，包括程序内存和二级存储、CPU和操作系统。通过无线网络连接到计算服务器，手持设备有很多机会通过仔细利用服务器的电力来节省电池。本项目探索编译器和运行时技术，以帮助将应用程序划分为服务器任务和客户端任务。最佳分区取决于可用的网络带宽和应用程序的性质。为了使手持设备能够在广泛的应用程序中最佳地利用服务器，需要在网络通信消耗的能量与计算消耗的能量之间进行仔细的权衡。提出的编译器技术和运行时支持包括工作和通信需求的编译时和运行时分析、手持设备上低功耗网络状态的开发、运行时决策和轻量级软件一致性机制。