QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN

Sensors

Wei-Chiang Hong¹  Sumit Kumar²  Rajeev Tiwari³ 

[1] Department of Information Management, Asia Eastern University of Science and Technology, New Taipei 22064, Taiwan;Department of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Bidholi, via Prem Nagar, Dehradun 248007, India;Department of Systemics, University of Petroleum and Energy Studies, Bidholi, via Prem Nagar, Dehradun 248007, India;

关键词: content-centric networking;    content caching;    network clustering;    content popularity;   

DOI  :  10.3390/s21217204

来源: DOAJ

【 摘 要 】

Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture. The in-network caching capability of CCN ensures higher content availability, lesser network delay, and leads to server load reduction. It was observed that caching the contents on each intermediate node does not use the network resources efficiently. Hence, efficient content caching decisions are crucial to improve the Quality-of-Service (QoS) for the end-user devices and improved network performance. Towards this, a novel content caching scheme is proposed in this paper. The proposed scheme first clusters the network nodes based on the hop count and bandwidth parameters to reduce content redundancy and caching operations. Then, the scheme takes content placement decisions using the cluster information, content popularity, and the hop count parameters, where the caching probability improves as the content traversed toward the requester. Hence, using the proposed heuristics, the popular contents are placed near the edges of the network to achieve a high cache hit ratio. Once the cache becomes full, the scheme implements Least-Frequently-Used (LFU) replacement scheme to substitute the least accessed content in the network routers. Extensive simulations are conducted and the performance of the proposed scheme is investigated under different network parameters that demonstrate the superiority of the proposed strategy w.r.t the peer competing strategies.

【 授权许可】

Unknown