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.

随着基于互联网的技术的迅速出现和普适计算的爆炸性增长，将有越来越多的客户通过电池供电的移动设备访问信息。由于带宽和功率的限制，为有线网络提出的数据访问技术可能不适用于移动环境。因此，考虑到移动环境的限制，有必要重新评估并可能重新设计数据访问策略，以有效地利用带宽和功率。在单跳移动环境中，研究将解决与广播和缓存技术相关的问题，即能量消耗问题、查询延迟问题、带宽利用问题和可伸缩性问题。多跳移动环境下的研究集中于设计和评估协作缓存技术，以降低带宽和功耗，并解决可伸缩性、缓存一致性和安全性问题。将使用试验台以综合的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。研究结果将对使普适计算更容易满足日益增长的客户需求以及更适合商业、民用和军事应用产生重大影响。