Abstract
The built-in pervasive caching is one of the most important features of named data networking (NDN), which can provide effective data delivery even in presence of short-lived and intermittent connectivity. NDN-caching can reduce the expected flood of global data traffic by providing cache storage at intermediate nodes for transmitted contents, making data broadcasting in an efficient way. It also reduces the content delivery time by caching popular content close to consumers. In this article, a cache placement strategy is proposed based on compound popularity (content popularity and node popularity). The proposed scheme aims to enhance the reuse rate of data packets by jointly considering the content popularity and the node popularity in a period of time. Meanwhile, content popularity can be obtained by a lightweight method in our scheme. Performance evaluation in Icarus simulator shows that the proposed scheme performs better in terms of the cache hit ratio, start latency, and link load than some existing strategies.
Highlights
The Internet plays an increasingly important role in our life with the development of society [1], while internet data traffic has grown explosively in the past few years
According to whether the delivery path of the consumer is related to the cache location of the data packet [13], existing caching strategies on named data networking (NDN) can be divided into the on-path caching and off-path caching
In-network caching is one of the important features of NDN, allowing content to be cached for a certain time span inside these nodes to fulfill the requirements of subsequent interests
Summary
The Internet plays an increasingly important role in our life with the development of society [1], while internet data traffic has grown explosively in the past few years. According to whether the delivery path of the consumer is related to the cache location of the data packet [13], existing caching strategies on NDN can be divided into the on-path caching and off-path caching. Onpath caching strategies focus on caching certain content at the appropriate nodes along the delivery path. LCE (Leave Copy Everywhere, LCE) [14], LCD (Leave Copy Down, LCD) [15], and ProbCache (Probabilistic caching, ProbCache) [16] are on-path caching strategies commonly used in NDN These caching strategies can improve system performance to a certain extent. Frequent the cooperation of nodes improves the performance of the off-path caching, it brings a lot of communication overhead which limits the scalability of the network.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
