Locus: A Vehicular-based Content Management Network for Location-centric Applications

Locus：用于以位置为中心的应用程序的基于车辆的内容管理网络

• 批准号: 1059628
• 负责人: Robin Kravets
• 金额: $ 20万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1059628&HistoricalAwards=false
• 关键词: Locus; Vehicular; based; Content; Management

Location-specific data is the enabling component of a new class of applications that can access near real-time and recent historical data about a specific location, driving applications such as vehicle route planning, real-time fuel efficiency and location-based data sharing. The focus on location-centric applications points towards caching of data in the geographic area where it was generated. Since the cache is location-sensitive and vehicles are constantly on the move, traditional caching and content Web-centric prefetching architectures not apply. Additionally, the large volumes of data these devices will generate cannot be supported by existing centralized approaches. Instead, we have designed Locus, a decentralized data overlay that runs on top of the mobile devices themselves.To keep data from a specific location near that location, Locus introduces the novel concept of "bubbles of knowledge", where the sensed data is actually stored in the network by the nodes in the surrounding geographic area, essentially providing localized memory in the network about the sensed data. By using such location information, Locus can achieve more efficient data storage and improve data look-up rates. As more users join the network, the benefits of Locus will be amplified due to the increasing density of the network, increasing both the performance and value of the overlay as the system grows. By maintaining content locally in the vehicular network, Locus reduces the reliance on and cost of infrastructure access, benefiting individuals with mobile data plans that limit total downloads or regions where the cellular data networks are overloaded.

特定位置数据是一类新应用程序的支持组件，可以访问有关特定位置的近实时和最近的历史数据，驾驶应用程序，如车辆路线规划，实时燃油效率和基于位置的数据共享。 对以位置为中心的应用程序的关注指向在生成数据的地理区域中缓存数据。 由于该高速缓存是位置敏感的，并且车辆总是在移动，因此传统的缓存和以Web为中心的内容预取架构不适用。此外，现有的集中式方法无法支持这些设备将生成的大量数据。 相反，我们设计了Locus，一个运行在移动的设备本身之上的去中心化数据覆盖。为了将来自特定位置的数据保存在该位置附近，Locus引入了“知识气泡”的新概念，其中感知数据实际上由周围地理区域的节点存储在网络中，本质上是在网络中提供关于感知数据的本地化记忆。 通过使用这些位置信息，Locus可以实现更有效的数据存储并提高数据查找率。 随着越来越多的用户加入网络，Locus的优势将因网络密度的增加而放大，随着系统的增长，覆盖的性能和价值都将增加。 通过在车辆网络中本地维护内容，Locus减少了对基础设施访问的依赖和成本，使具有移动的数据计划的个人受益，这些计划限制了总下载量或蜂窝数据网络过载的地区。