Abstract
To enhance network performance, the named data networking architecture (NDN) caches data-packets in the network nodes on a downstream network path. Then it uses such cached requested data-packets to respond to new request-packets. Hence, a cache management scheme (CMS) is the essential point of NDN. CMS generally considers two main factors. One is a short response time and the other is storage efficiency. To rapidly respond to requests, CMS generally tries to cache data-packets near users as much as possible. To efficiently manage storage, it uses the popularity of the data. That is, proportionally to the popularity of the data, it increases the number of nodes caching data-packets and manages the lifetime of caches. However, few data objects are as popular as many users globally enjoy in the real world. Hence, if the assumptions about content- usage are practically changed, CMS can waste cache storage and not significantly improve network efficiency. We show that many caches have expired and are not used at all. To improve such inefficiency of CMS, this paper propose to simultaneously apply two cache decision factors, the expected frequency of a cache hit and the popularity of data. That is, it proposes to gradually cache transmitted data in nodes in which their expected cache-usage frequency is relatively high. To show the effectiveness of our proposal, we implement LdC (a limited domain cache policy) and evaluate the performance of LdC. The evaluation result shows that it can enhance the cache-storage efficiency by up to 65% compared with existing CMS without degrading the network efficiency.
Funder
National Research Foundation of Korea
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
5 articles.
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