Evaluation of parameters affecting the performance of real time streaming on real time communication library in named data networking

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Named Data Networking (NDN) shifts the current Internet protocol’s networking paradigm from addresses of machines or ‘where’ to get data into the needed data or ‘what’ data to get directly through naming data packets. NDN architecture has been proven with various applications, including multiparty real-time video-conferencing, which had been implemented in NDN-RTC library (Real Time Communication library in NDN). This work presents the analysis and evaluation of parameters that have impact on NDN-RTC’s mechanism in fetching real-time streaming data using Interest queuing. Assessments on NDN-RTC are also performed through several runs on different network conditions, tuning NDN-RTC’s multiplier factor in the Interest Expression Control Module, and running NDN-RTC on multiple clients simultaneously with different network conditions. The results shows that there is no linear relationship between the increases of network delay in influencing the quality of playout on application layer. NDN-RTC also suffers from the early uncertainty of application-level round-trip-time (RTT), which is the result of NDN-RTC’s implicit RTT averaging, for around the first 3 s. A more explicit estimation mechanism is suggested for future works. On varying the multiplier factor, the factor of 0.25 is found to be the best for the network delay of 100 and 200 ms, and 0.25 and 0.75 for the 300 ms network delay. The findings open the discussion of developing a more adaptive strategy. NDN-RTC’s implicit fetching mechanism and its lack of synchronization methods also leads to the out-of-sync state of multiple clients, with up to 4 s playout difference in this work. Further study and development can be done for NDN-RTC’s strategy to control Interest expression, and for a new inter-consumer playback synchronization method.

Original languageEnglish
Title of host publicationAdvances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1
EditorsRahul Bhatia, Kohei Arai, Supriya Kapoor
PublisherSpringer Verlag
Number of pages18
ISBN (Print)9783030034016
Publication statusPublished - 2019
EventFuture of Information and Communication Conference, FICC 2018 - Singapore, Singapore
Duration: 5 Apr 20186 Apr 2018

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


ConferenceFuture of Information and Communication Conference, FICC 2018


  • Information centric networking
  • Named data networking
  • Real time communication


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