DENA: An Intelligent Content Discovery System Used in Named Data Networking

Abstract

Named data networking (NDN) aims at efficient content delivery and reducing the redundancy of data transmission. In NDN, one of the most important issues is how to utilize the cached contents to reduce the user's response delay and improve the utilization of the cache resources. In this paper, an intelligent content discovery system to fully utilize the cache resources, called DENA, is proposed, which encompasses the deep exponential network-based cache announcement and cache exergy-based cache replacement algorithms. DENA provides shortcut paths for interest packets to access targeted data packets under instructions of AT (announcement table) constructed by a precision cached content announcement algorithm with low communication overhead. In the meantime, a cache replacement algorithm to assist the cache announcement is also proposed. The method uses a so-called cache exergy index to instruct the replacement of cached content. The simulation results indicate that the system improves the utilization of cache resources and the network capacity while keeping the network control traffic at a relatively low level.

Keywords

• Named data networking
• content discovery
• cooperative cache strategy
• topic extraction
• network data mining