DocumentCode :
2155551
Title :
Enhancing in-network caching by coupling cache placement, replacement and location
Author :
Hu, Xiaoyan ; Gong, Jian ; Cheng, Guang ; Fan, Chengyu
Author_Institution :
School of Computer Science and Engineering, Southeast University, Nanjing, China
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
5672
Lastpage :
5678
Abstract :
As a distinctive feature of Information Centric Networking (ICN), in-network caching plays a fundamental role on system performance. The line-speed requirement of in-network caching invalidates the employ of complex collaborative caching schemes. The cache management of in-network caching includes three components - cache placement, cache replacement and cache location. Coupling the three pieces would make more efficient use of in-network caches, but existing in-network caching schemes consider only one or two of the three pieces. This work enhances in-network caching with a low complexity cache placement scheme that takes into account content popularity, hop reduction gains, cache space contention and replacement penalty and couples with cache replacement and location, here dubbed PRL (coupling cache Placement, Replacement and Location). PRL keeps data chunks that are more popular and farther away to fetch at an en-route router with less cache space contention. And PRL locates cached copies so as to serve a higher proportion of requests from in-network caches. Our preliminary simulation results suggest that PRL increases cache hit ratio and reduces the average hop count traversed by users´ requests and the caching operations at routers as compared to existing representative innetwork caching schemes.
Keywords :
Artificial neural networks; Benchmark testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7249226
Filename :
7249226
Link To Document :
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