Modeling content transfer performance in information-centric networking
Modeling content transfer performance in information-centric networking
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DOI：
10.1016/j.future.2017.04.013
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发表时间：
2017-09
期刊：
影响因子：
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通讯作者：
Yongmao Ren;Jun Yu Li;Lingling Li;Shanshan Shi;Jiang Zhi;Haibo Wu
中科院分区：
文献类型：
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作者：
Yongmao Ren;Jun Yu Li;Lingling Li;Shanshan Shi;Jiang Zhi;Haibo Wu
信息中心网络（ICN）是一种很有前途的未来网络体系结构，其中内容而不是位置成为通信模型的核心。内容独立于位置，从而支持网络内缓存和共享。因此，运输方式发生了巨大的变化。在本文中，我们开发了ICN中内容传输性能的分析模型。我们推导了带宽/缓存/缓冲容量、传播延迟、内容流行度等因素对平均内容传递时间的表达式，然后具体分析了典型的线性拓扑和树状拓扑。我们的分析结果在仿真的支持下，可以作为ICN架构和协议设计和评估的参考。
Information-Centric Networking (ICN) is a promising future network architecture where content instead of its location becomes the core of the communication model. Content is independent from location, which enables in-network caching and sharing. Consequently, the transport mode changes dramatically. In this paper, we develop an analytical model for content transfer performance in ICN. We derive expressions for the average content delivery time as functions of bandwidth/cache/buffer capacity, propagation delay, content popularity and other factors, and then we specifically analyze the typical linear topology and the tree topology. Our analytical results, supported by simulations, can be used as a reference for the design and evaluation of ICN architectures and protocols.