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首页> 外文会议>IEEE Conference on Local Computer Networks >Geographically-Distinct Request Patterns for Caching in Information-Centric Networks
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Geographically-Distinct Request Patterns for Caching in Information-Centric Networks

机译：信息中心网络中用于缓存的地理位置不同的请求模式

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摘要

The current Internet architecture follows a hostcentric communication model, intended for machine to machine connection and message passing. Modern Internet users are mainly interested in accessing information by name, irrespective of physical location. Information centric networking (ICN) was developed to rethink Internet foundations. Innetwork caching is one of the main features of ICN. Studying the performance of different caching algorithms in ICN requires a good understanding of users' request distributions in such networks. Most studies use simplifying assumptions for user request patterns since ICNs are not yet deployed. Geographically localized and global request patterns have both been observed to possess Zipf-like properties, although the local distributions are poorly correlated with the global distribution. Several independent Zipf distributions combine to form an emergent Zipf distribution in real client request scenarios. We develop an algorithm that can generate realistic synthetic traffic for geographic regions that possesses Zipf power-law properties as well as a global Zipf distribution. Our simulation results show that the caching performance would have different behaviour based on users' requests distribution.
机译：当前的Internet体系结构遵循以主机为中心的通信模型，该模型用于机器对机器的连接和消息传递。现代互联网用户主要对按名称访问信息感兴趣，而与物理位置无关。以信息为中心的网络（ICN）的开发是为了重新考虑Internet基础。网络内缓存是ICN的主要功能之一。要研究ICN中不同缓存算法的性能，需要对此类网络中用户的请求分布有很好的了解。由于尚未部署ICN，因此大多数研究对用户请求模式使用简化的假设。尽管局部分布与全局分布的相关性很低，但地理上局部的和全局的请求模式都已被观察到具有类Zipf的特性。在真实的客户请求场景中，几个独立的Zipf分布组合形成一个紧急的Zipf分布。我们开发了一种算法，该算法可以为具有Zipf幂律特性以及全球Zipf分布的地理区域生成现实的综合流量。我们的仿真结果表明，基于用户的请求分布，缓存性能将具有不同的行为。

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