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Impact of Content Popularity on Content Finding in NDN: Default NDN vs. Vicinity-based Enhanced NDN

Suwannasa, Atthapol; Broadbent, Matthew; Mauthe, Andreas

Authors

Atthapol Suwannasa

Matthew Broadbent

Andreas Mauthe



Abstract

Named Data Networking allows a consumer to locate a desired content object by its name prefix. By using the best route strategy of the default NDN architecture, an Interest packet is forwarded along a default path indicated by the packet's name to find the content object. However, in this design, the content object can be requested several times and it might be replicated in several nodes that are close to the consumer. Hence, the best path to fetch the content object might not be the default path. We introduce a vicinity-based replica finding scheme to locate the replicas of the content object that are replicated nearby. We have found that the scheme can decrease the delivery time effectively with acceptable overhead costs. However, there are other important factors that can affect the content finding results. For example, locating highly popular content might be faster than finding low popular content depending on the different number of replicas. Cache replacement rates in different populated networks can also affect content finding results. In a high populated network, if the cache size is quite small, the replicas can be replaced easily. It is more difficult to find the replicas that have been replaced. In this paper, we evaluate the proposed scheme against different content popularity levels (from low to high). The results demonstrate that our scheme can perform better compared to NDN default in almost every case.

Presentation Conference Type Conference Paper (Published)
Conference Name 2020 10th International Conference on Information Science and Technology (ICIST)
Start Date Sep 9, 2020
End Date Sep 15, 2020
Online Publication Date Sep 22, 2020
Publication Date 2020
Deposit Date Mar 8, 2022
Publisher Institute of Electrical and Electronics Engineers
Pages 163-168
Series ISSN 2573-3311
Book Title 2020 10th International Conference on Information Science and Technology (ICIST)
DOI https://doi.org/10.1109/ICIST49303.2020.9202215
Keywords content finding, content popularity, replicas, vicinity-based, NDN
Public URL http://researchrepository.napier.ac.uk/Output/2844104