Paper Info
Title
PPP: prefix-based popularity prediction for effective caching in content-centric networking
Abstract
In the Content-Centric Networking (CCN) architecture, popular content can be cached in some intermediate network devices while being delivered, and the following requests for the cached content can be efficiently handled by the caches. Thus, how to design in-network caching is important for reducing both the traffic load and the delivery delay. In this paper, we propose a caching framework of Prefix-based Popularity Prediction (PPP) for efficient caching in CCN. PPP assigns a lifetime (in a cache) to the prefix of a name (of each cached object) based on its access history (or popularity), which is represented as a Prefix-Tree (PT). We demonstrate PPP's predictability of content popularity in CCN by both traces and simulations. The evaluation results show that PPP can achieve higher cache hits and less traffic load than traditional caching algorithms (i.e., LRU and LFU). Also, its performance gain increases with users of high mobility.
Year
DOI
Venue
2014
10.1145/2619287.2619296
CFI
Keywords
Field
DocType
design,experimentation,network operations,internet,measurement,ccn caching simulator,content-centric networking,popularity-prediction,performance
Predictability,Traffic load,Cache,Computer science,Popularity,Networking hardware,Computer network,Cache algorithms,Prefix,Content centric networking
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
7
Name
Order
Citations
PageRank
Bing Han1588.81
Xiaofei Wang2107.42
Xin Chen3989.56
Ted Taekyoung Kwon458435.90
Yanghee Choi52235188.82
Ong Mau Dung6141.64
Min Chen72369142.44