A Hierarchical Caching Decision Algorithm for Content-Centric Network

doi:10.23940/ijpe.18.10.p26.25042510

Abstract

Abstract:

Content-Centric Network (CCN), one of the current research hotspots, is known as the network architecture with the best development prospects. As an important part of CCN, the performance of cache decision strategy directly affects the whole performance of CCN. A hierarchical caching decision algorithm (HCDA) is proposed to solve the problem of existing cache decision strategies in CCN. The strategy grades contents and nodes in network topology so that the content can be hierarchically cached. Doing so solves the redundancy caused by LCE (Leave Cache Everywhere). Simulation results show that compared with LCE and ProbC (Probabilistic Caching), HCD effectively raises the cache hit ratio and reduces the cache content redundancy; thus, the user requests hop is reduced.

Submitted on July 8, 2018; Revised on August 10, 2018; Accepted on September 9, 2018
References: 19

Zengyu Cai, Xuhui Wang, Jianwei Zhang, Wanwei Huang, and Yong Gan. A Hierarchical Caching Decision Algorithm for Content-Centric Network [J]. Int J Performability Eng, 2018, 14(10): 2504-2510.

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