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首页> 外文期刊>IEEE Communications Magazine >SAVING: socially aware vehicular information-centric networking
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SAVING: socially aware vehicular information-centric networking

机译：节省：具有社会意识的以车辆信息为中心的网络

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Mobile devices today are constantly generating and consuming a tremendous amount of content on the Internet. Caching of such "massive" data is beyond the capacity of existing cellular networks in terms of both cost and bandwidth due to its connection-centric nature. The increasing demand for content poses fundamental questions like where, what, and how to cache and retrieve cached content. Leveraging the shift toward a content-centric networking paradigm, we propose to cache content close to the mobile user to avoid wasting resources and decrease access delays. Therefore, we present SAVING, a socially aware vehicular information-centric networking system for content storage and sharing over vehicles using their computing, caching, and communication (3Cs) capabilities. The encapsulated 3Cs are exploited first to identify the potential candidates, socially important, to cache in the fleet of vehicles. To achieve this, we propose a novel vehicle ranking system allowing a smart vehicle to autonomously "compute" its eligibility to address the question, where to cache. The identified vehicles then collaborate to efficiently "cache" content between them based on the content popularity and availability to decide what and how to cache. Finally, to facilitate efficient content distribution, we present a socially aware content distribution protocol allowing vehicles to "communicate" to address the question how to retrieve cached content. Implementation results for SAVING on 2986 vehicles with realistic mobility traces suggests it as an efficient and scalable computing, caching, and communication system.
机译：当今的移动设备不断地在Internet上生成和使用大量内容。由于其以连接为中心的性质，因此在成本和带宽方面，这种“大量”数据的缓存超出了现有蜂窝网络的能力。对内容不断增长的需求提出了一些基本问题，例如在哪里，什么以及如何缓存和检索缓存的内容。利用向以内容为中心的联网范例的转变，我们建议将内容缓存在靠近移动用户的位置，以避免浪费资源并减少访问延迟。因此，我们提出了SAVING，这是一种具有社会意识的以车辆信息为中心的联网系统，用于使用其计算，缓存和通信（3C）功能在车辆上进行内容存储和共享。首先利用封装的3C来识别具有社会重要性的潜在候选者，以缓存在车队中。为了实现这一目标，我们提出了一种新颖的车辆排名系统，该系统使智能车辆能够自主“计算”其解决问题的条件，缓存位置。然后，已识别的车辆根据内容的受欢迎程度和可用性进行协作，以有效地“缓存”它们之间的内容，从而决定要缓存的内容和方式。最后，为了促进有效的内容分发，我们提出了一种具有社会意识的内容分发协议，该协议允许车辆“通信”以解决如何检索缓存的内容的问题。 SAVING在2986辆具有逼真的移动轨迹的车辆上的实施结果表明，它是一种高效且可扩展的计算，缓存和通信系统。

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