ITR: Efficient Power-Aware Data Access in Pervasive Computing Environments

ITR：普适计算环境中的高效节能数据访问

• 批准号: 0219711
• 负责人: Guohong Cao
• 金额: $ 25万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-08-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0219711&HistoricalAwards=false
• 关键词: ITR; Efficient; Power; Aware; Data

With the rapid emergence of Internet-based techniques and theexplosive growth of pervasive computing, there will be an exponential increase of customers accessing information through battery powered mobile devices. Data access techniques proposed for wired networks may not be feasible for mobile environments due to the limitations of bandwidth and power. Therefore, it has become necessary to re-evaluate and possibly redesign data access strategies to efficiently utilize bandwidth and power considering the limitations of mobile environments. In single-hop mobile environments, the research will address the issues associated with broadcasting and caching techniques, i.e., the energy consumption issue, the query latency issue, the bandwidth utilization issue, and the scalability issue. The research in multi-hop mobile environments concentrates on designing and evaluating cooperative caching techniques to reduce the bandwidth and power consumption, and to address scalability, cache consistency, and security issues. A testbed will be used to evaluate the proposed data access mechanisms in an integrated manner and evaluate the effects of various techniques on the overall system performance. The research results will have significant impacts on making pervasive computing more affordable to the increasing customer demands and more amenable to commercial, civilian, and military applications.

随着基于Internet的技术的迅速出现和普遍计算的爆炸性增长，通过电池供电的移动设备，客户访问信息的指数呈指数增长。 由于带宽和功率的局限性，针对有线网络的数据访问技术对于移动环境可能不可行。 因此，考虑到移动环境的局限性，重新评估并可能重新评估数据访问策略，以有效利用带宽和功率。在单跳移动环境中，该研究将解决与广播和缓存技术相关的问题，即能源消耗问题，查询延迟问题，带宽利用率问题以及可扩展性问题。多跳移动环境中的研究集中在设计和评估合作缓存技术，以减少带宽和功耗，并解决可扩展性，高速缓存一致性和安全问题。 测试平台将用于以集成方式评估所提出的数据访问机制，并评估各种技术对整体系统性能的影响。 研究结果将对使普遍计算的客户需求更加负担得起，并且更适合商业，平民和军事应用，从而产生重大影响。