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2017 IEEE Symposium on Computers and Communications (ISCC) (2017)
Heraklion, Greece
July 3, 2017 to July 6, 2017
ISBN: 978-1-5386-1630-7
pp: 657-662
Yuhang Ye , Software Research Institute, Athlone Institute of Technology, Co. Westmeath, Ireland
Brian Lee , Software Research Institute, Athlone Institute of Technology, Co. Westmeath, Ireland
Ronan Flynn , Software Research Institute, Athlone Institute of Technology, Co. Westmeath, Ireland
Niall Murray , Software Research Institute, Athlone Institute of Technology, Co. Westmeath, Ireland
Yuansong Qiao , Software Research Institute, Athlone Institute of Technology, Co. Westmeath, Ireland
ABSTRACT
Named Data Networking (NDN) is a promising Future Internet architecture to support efficient content distribution. Specifically, P2P may gain benefits from NDN, as NDN inherently provides a flexible forwarding plane for multi-source and multi-path communications. Existing studies in this area have proposed solutions, but these are adversely affected by link latency. This leads to illogical resource allocation and low link utilization for P2P. In this paper, we propose a new Heterogeneous-Latency Adaptive Forwarding (HLAF) strategy for peer-assisted video streaming in NDN. In peer-assisted video streaming, users (peers) proactively share the available content to others. By measuring the performance of forwarding interfaces, using both the level of congestion and the round-trip time, HLAF enables efficient P2P communication, which minimizes the latency and enhances the throughput. The experimental results show that the proposed strategy can enhance the peers' Quality of Experience (QoE).
INDEX TERMS
Streaming media, Resource management, Peer-to-peer computing, Servers, Measurement, Computers
CITATION

Yuhang Ye, Brian Lee, R. Flynn, N. Murray and Yuansong Qiao, "HLAF: Heterogeneous-Latency Adaptive Forwarding strategy for Peer-Assisted Video Streaming in NDN," 2017 IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017, pp. 657-662.
doi:10.1109/ISCC.2017.8024603
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