Modified-LRU Algorithm for Caching in Named Data Network on Mobile Network

F. Kurniawan, L. V. Yovita, T. Wibowo
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引用次数: 2

Abstract

It is estimated that the annual internet network traffic will exceed the threshold of 3.3 zettabytes by 2021. However, internet architecture is currently inefficient to support the distribution of information-sharing content. Thus, a new internet architecture is designed, namely Named Data Network. Named Data Network (NDN) can store data that has been accessed by consumers in the content store so that when the data is requested by other consumers, it will be fast in distributing data. Nonetheless, it is not possible to store all the content in the content store. Optimization should be made, the existing optimization technique based on the replacement algorithm is Least Recent Used (LRU). However, LRU has a weakness, which only uses the latest reference time and cannot distinguish between frequent or rare objects that are being accessed. Previous research has been conducted on modified-LRU but only on fixed networks, while currently the majority of users use mobile networks, and the condition of mobile networks is very different from the condition of fixed networks. In this research, scenario 5 testing was carried out relating to packet ratio, delay, and packet drop on mobile networks. Modified-LRU show great improvement by the performance of the Hit ratio, 3.6% greater than the LRU, reducing delay by 19.67%, and packet drop by 94% better than LRU.
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移动网络中命名数据网络缓存的改进lru算法
据估计,到2021年,每年的互联网网络流量将超过3.3 zb的阈值。然而,目前的互联网架构在支持信息共享内容的分发方面效率低下。因此,设计了一种新的互联网架构,即数据网络。命名数据网络(Named Data Network, NDN)可以将消费者访问过的数据存储在内容存储库中,这样当其他消费者请求该数据时,可以快速分发数据。然而,不可能将所有内容存储在内容存储库中。现有的基于置换算法的优化技术是Least recently Used (LRU)。然而,LRU有一个缺点,它只使用最近的引用时间,不能区分频繁访问的对象和罕见访问的对象。以往对改进型lru的研究都是在固定网络上进行的,而目前大多数用户使用的是移动网络,移动网络的情况与固定网络的情况有很大的不同。在本研究中,对移动网络的分组比率、延迟和丢包进行了场景5测试。改进后的LRU在命中率上比LRU提高了3.6%,时延降低了19.67%,丢包率比LRU降低了94%。
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