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SBIR Phase II: Enabling Techologies for Energy-Centric Mobile App Design to Extend Mobile Device Battery Life

SBIR Phase II: Enabling Techologies for Energy-Centric Mobile App Design to Extend Mobile Device Battery Life
SBIR 第二阶段:以能源为中心的移动应用程序设计支持技术,以延长移动设备的电池寿命
批准号:
1660221
负责人:
Abhilash Jindal
金额:
$75.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-01 至 2019-02-28

项目摘要

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中文摘要
翻译
这个小企业创新研究(SBIR)第二阶段项目的更广泛的影响/商业潜力将产生深远的社会,商业和技术影响。(1)首席研究员对AngryBirds能源消耗的初步研究表明,当今应用市场上流行的移动的应用存在严重的能源效率低下问题。由于智能手机是发达国家和发展中国家弱势群体上网的一个重要推动因素,因此也是克服“数字鸿沟”的一个重要工具,这项工作的重要性就更加突出了。(2)在商业上,该项目将促进移动的应用程序行业(2020年为1010亿美元)从当前以功能为中心到能源感知应用程序设计的范式转变。这种模式转变将对应用程序行业产生重大而持久的影响。节能应用程序可以延长电池寿命,从而延长用户参与时间,最终转化为数百万美元的移动的收入增长,因为所有主要业务都在向移动的转移。因此,该SBIR项目将导致一个适销对路的产品。(3)从技术上讲,这项工作将把软件行业的基础性能分析技术扩展到对移动的软件行业至关重要的能源维度。这项小型企业创新研究(SBIR)第二阶段项目将开发业界首个应用能源管理(AEM)解决方案,帮助应用开发人员减少应用电池消耗,延长数十亿智能手机的电池寿命。研究目标是(1)开发先进的能源调试技术,可以自动识别合法能源热点的能源消耗机会;(2)开发基于SDK的应用程序能源监测系统,用于监测在开放市场的消费者手机上运行的应用程序能源消耗。这些目标提出了重大的技术挑战。虽然传统软件在性能指标(如运行时间)方面的类似挑战已经得到了很好的研究,特别是在高性能计算方面,但在这个项目中,该公司正在将其扩展到移动的应用行业的能源维度,这是以前从未尝试过的。该公司将开发新的基于机器学习的解决方案,以学习、分类和自动检测能源优化机会。因此,它希望开发第一套解决方案,以优化应用程序市场中数百万个移动的应用程序的能源消耗。
英文摘要
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will result from it having far-reaching societal, commercial, and technological impact. (1) Initial research by the Principal Investigator on analyzing the energy drain of AngryBirds has demonstrated the severe energy inefficiency of popular mobile apps in today's app market. The importance of this work is heightened by smartphones being an important enabler of Internet access for disadvantaged people in both developed and developing countries, and hence being an important tool in overcoming the "digital divide". (2) Commercially, the project will foster a paradigm shift in the mobile app industry ($101B industry in 2020) from the current feature-centric to energy-aware app design. Such a paradigm shift will have a significant, long lasting impact on the app industry. Energy-efficient apps lead to longer battery life, which in turn leads to longer user engagement time, which ultimately translates into millions of dollars of increased mobile revenue as all major businesses are shifting towards mobile. Hence this SBIR project will lead to a marketable product. (3) Technically, the proposed work will extend the performance profiling technology that is foundational to the software industry into the energy dimension, which is critical to the mobile software industry.This Small Business Innovation Research (SBIR) Phase II project will develop the industry's first app energy management (AEM) solution to help app developers reduce app battery drain, and extend the battery life of billions of smartphones. The research objectives are (1) to develop advanced energy debugging techniques that can automatically identify energy drain opportunities from legitimate energy hotspots; and (2) to develop an SDK-based app energy monitoring system for monitoring app energy drain when running on consumer phones in the open market. These objectives pose significant technical challenges. While similar challenges on performance metrics (such as running time) have been well studied for traditional software, in particular in high-performance computing, in this project the company is expanding them to the energy dimension for the mobile app industry, which has not been attempted before. The company will develop novel machine-learning based solutions to learn, classify, and auto-detect energy optimization opportunities. As a result it expects to develop the first set of solutions to these fundamental challenges in optimizing the energy drain of millions of mobile apps in the app market.
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