The Cache Location Selection Based on Group Betweenness Centrality Maximization

Guan, Jianfeng; Zhou, Yan; Yao, Su; Xu, Changqiao; Zhang, Hongke

doi:10.1007/978-3-319-60717-7_27

Cited by 1 publication

(1 citation statement)

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“…In other studies, researchers proposed to design caching strategies from the perspective of node-related attributes. In [19][20][21][22], the authors adopted a similar idea, which is to determine the cache location of content by considering the betweenness centrality of node. The betweenness centrality of a node is a relatively stable property, while the network dynamic information such as available cache capacity and load state of the node that plays an important role in caching decisions are not fully considered in this scheme.…”

Section: Introductionmentioning

confidence: 99%

Cache pressure-aware caching scheme for content-centric networking

Luo¹,

An²

2019

Turk J Elec Eng & Comp Sci

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Content centric networking (CCN) is a new networking paradigm to meet the growing demand for content access in the future. Because of its important role in accelerating content retrieval and reducing network transmission load, in-network caching has become one of the core technologies in CCN and has attracted wide attention. The existing caching schemes often lack sufficient consideration of node cache status and the temporal validity of user requests, and thus the cache efficiency of the network is greatly reduced. In this paper, a cache pressure-aware caching scheme is proposed, which comprehensively takes into account various factors such as content popularity, cache occupancy rate, cache replacement rate, and the validity period of the Interest packet to achieve reasonable cache placement and replacement. Simulation results show that the proposed scheme effectively improves the cache hit rate and the resource utilization while decreasing the average response hops.

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Section: Introductionmentioning

confidence: 99%