A Cache Placement Strategy Based on Entropy Weighting Method and TOPSIS in Named Data Networking

Named data networking (NDN) aims to change the traditional content delivery method and caching by router nodes caching and participating in forwarding. NDN-caching can reduce the expected flood of global data traffic by providing cache storage at intermediate nodes for transmitted content objects, making data broadcasting in an efficient way. In this paper, a novel caching strategy based on entropy weighting method and TOPSIS is proposed for efficient content dissemination to improve NDN's in-network caching performance. Firstly, the consumer's request process is modeled by the entropy weighting method and TOPSIS to obtain the best cache node for the cache object according to the real-time status of the node. Secondly, two cache replacement algorithms (composed of an active cache replacement algorithm and a passive cache replacement algorithm) are proposed to reduce the cache redundancy on the delivery path and improve the utilization of data packets in the nodes. Finally, an effective cache mechanism and data packet migration scheme are proposed to further improve the cache performance according to the different types of cache nodes. The performance evaluation shows that the proposed scheme performs better in terms of cache hit rate, latency, and link load compared with some existing strategies.

Automated summary

The research proposes a novel caching strategy based on entropy weighting method and TOPSIS to improve NDN's in-network caching performance. Two cache replacement algorithms are introduced to reduce cache redundancy and improve data packet utilization. An effective cache mechanism and data packet migration scheme are also proposed to enhance cache performance for different types of cache nodes. Performance evaluation shows that the proposed scheme outperforms existing strategies in terms of cache hit rate, latency, and link load.