CISE Experimental Partnerships: Processing/Communication/ Interface Tradeoffs to Optimize Energy Locality in Mobile Systems

[00:13 . 21] siwiorek, DanielKoopman， philip卡耐基梅隆大学cise实验伙伴关系：处理/通信/接口权衡以优化移动系统中的能量位置随着计算机的不断缩小，对移动/可穿戴计算的研究和商业兴趣正在迅速增长。与传统的桌面计算不同，在桌面计算中，用户需要来到计算机前，而移动计算将计算机带到用户面前。移动/可穿戴计算的关键问题之一是能耗。移动/可穿戴电脑的电池重量通常超过所有其他组件的重量总和。为了使移动/可穿戴计算得到广泛应用，需要在降低功耗和电池重量方面取得重大进展。在这项研究中，正在开发一个测试平台，Infocator，用于研究移动/可穿戴计算中的能源问题。移动/可穿戴系统通常由计算和通信系统组成。虽然计算组件所需的功耗正在迅速下降，但通信组件所需的功耗却没有跟上。据估计，到2001年，近80%的移动/可穿戴设备的电力消耗将来自通信。通过有效地划分控制和数据，将能源昂贵的通信交换为能源廉价的计算，可以显著节省能源。在能量局部性理论中，确定理想控制/数据划分的方法正在发展和编纂。为了实现分区和方便控制移动，还开发了一个通用的独立于应用程序的代理框架。为了使可穿戴系统在移动计算环境中发挥最大的功效，界面设计必须仔细匹配用户的任务，并平衡能耗。许多复杂且相互关联的问题决定了易用性和功耗之间的平衡。简单地牺牲使用时间来换取更低的每次操作功耗可能会导致更高的任务能耗，因为遍历不太直观的界面所需的操作数量增加了。用户界面对能源消耗的影响也正在通过为聚焦器开发几个不同的界面和测量和比较易用性和能源消耗来评价。

99-01321Siewiorek, DanielKoopman, PhilipCarnegie Mellon UniversityCISE Experimental Partnerships: Processing/Communication/InterfaceTradeoffs to Optimize Energy Locality in Mobile SystemsAs computers continue to shrink, research and commercial interest in mobile/wearable computing is rapidly growing. Unlike traditional desktop computing in which the user is required to come to the computer, mobile computing brings the computer to the user. One of the key problems with mobile/wearable computing is energy consumption. Battery weight for mobile/wearable computers often exceeds the weight of all other components combined. In order to make mobile/wearable computing widely applicable, major advances in reducing power consumption and battery weight are needed. In this research a testbed, Infocator, is being developed to study energy issues in mobile/wearable computing.Mobile/wearable systems are typically comprised of both computing and communications systems. While power consumption required by the computing component is rapidly decreasing, power consumption required by the communications component is not keeping pace. It is estimated that by the year 2001, nearly 80% of the power consumed by mobile/wearable will be due to communications.Trading off energy-expensive communication for energy cheap computation through effective partitioning of control and data can result in significant energy savings. Methods for determining the ideal control/datapartitioning are being developed and codified in a Theory of Energy Locality. To realize the partitioning and facilitate control movement, a generic application independent framework for proxies is also beingdeveloped. To maximize the effectiveness of wearable systems in mobile computing environments, the interface design ust be carefully matched with user tasks and balanced against energy consumption. Many complex and interrelated issues determine the balance between ease-of-use and power consumption. Simply trading off ase-of-use for lower per operation power consumption may result in higher task energy consumption due to the increase in the number of operations needed to traverse a less intuitive interface. The effect of user interface on energy consumption is also being evaluated by developing several different interfaces for nfocator and measuring and comparing the ease-of-use and energy consumption.