Evaluation of the Caching Placement Algorithms in Named Data Network for Video on Demand Service

Abstract

In the existing literature for Information-Centric Networking (ICN) architectures improvement metrics are well researched and studied including the cache hit rate, origin server load reduction, and the reduction in the overall network footprint {[}1]. Metrics could be optimized using various aspects of caching including the content placement to make a decision which routers should cache the content on a request patch {[}2-5]. Impact of different ICN caching placement strategies on the main cloud TV performance metrics is deeply researched in this work, and results are presented. Seven cache placement algorithms are evaluated including four cache sizes of 1 GB, 10 GB, 100 GB, and 1 TB.