A Replica-Selection Algorithm Based on Transmission Completion Time Estimation in ICN

Zhiyuan Wang, Hong Ni and Rui Han ()
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Zhiyuan Wang: National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, No. 21 North Fourth Ring Road, Haidian District, Beijing 100190, China
Hong Ni: National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, No. 21 North Fourth Ring Road, Haidian District, Beijing 100190, China
Rui Han: National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, No. 21 North Fourth Ring Road, Haidian District, Beijing 100190, China

Future Internet, 2023, vol. 15, issue 4, 1-18

Abstract: As the Internet communication model changes from host-centric to content-centric, information-centric networking (ICN) as a new network architecture has received increasing attention. There are often multiple replicas of content in ICN, and how to reasonably utilize the characteristics of multiple replicas to further improve user experience is an important issue. In this paper, we propose a replica-selection algorithm, called the transmission completion time estimation (TCTE) algorithm. TCTE maintains the state of replica nodes in the domain with passive measurements in a limited domain of an enhanced name resolution system (ENRS), then estimates the transmission completion time of different replica nodes and selects the smallest one. When no replica is found in the ENRS domain, the nearest-replica algorithm will be used, so TCTE will not increase the traffic in the core network. Experiments show that TCTE not only effectively improves the user’s download rate and edge node throughput, reduces download rate fluctuations, reduces user download delay, and improves fairness, but also has universal applicability.

Keywords: information-centric networking; replica selection; name resolution (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
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