Characteristic time based routing in information centric networks

Bitan Bandyopadhyay, A. Seetharam, A. Mukherjee, M. K. Naskar
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引用次数: 4

Abstract

Information centric networking (ICN) aims to transform today's Internet from a host-centric model to a content-centric one by caching content internally within the network at storage-enabled nodes. Recently, multiple routing and cache management strategies have been proposed [1]-[6] to improve the user-level performance (e.g., content-download latency) in ICN. In this paper, we propose a simple routing strategy that leverages the concept of characteristic time to improve content-download latency. Characteristic time for a content in a cache indicates the amount of time in future a recently accessed content is likely to remain in that cache. Our proposed algorithm (CTR) uses characteristic time information to forward requests to caches where the content is likely to be found. CTR augments native routing strategies (e.g., Dijkstra's algorithm), works with existing cache management policies and thus can be implemented in ICN prototypes with minimal effort. We perform exhaustive simulations using realistic Internet topologies (e.g., GEANT, WIDE, TISCALI, ROCKETFUEL [7]) and demonstrate that the CTR algorithm provides approximately 10-50% improvement in latency over state-of-the-art routing and caching management strategies for ICN for a wide range of simulation parameters.
信息中心网络中基于特征时间的路由
信息中心网络(ICN)旨在通过在支持存储的节点上缓存网络内部的内容,将当今的Internet从以主机为中心的模型转变为以内容为中心的模型。最近,人们提出了多种路由和缓存管理策略[1]-[6],以提高ICN的用户级性能(例如,内容下载延迟)。在本文中,我们提出了一个简单的路由策略,利用特征时间的概念来改善内容下载延迟。缓存中内容的特征时间表示最近访问的内容将来可能留在该缓存中的时间量。我们提出的算法(CTR)使用特征时间信息将请求转发到可能找到内容的缓存。CTR增强了本地路由策略(例如,Dijkstra的算法),与现有的缓存管理策略一起工作,因此可以在ICN原型中以最小的努力实现。我们使用现实的互联网拓扑(例如,GEANT, WIDE, TISCALI, ROCKETFUEL b[7])进行详尽的模拟,并证明CTR算法在广泛的模拟参数范围内,比最先进的ICN路由和缓存管理策略提供了大约10-50%的延迟改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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