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dc.contributor.authorYe, Yuhang
dc.contributor.authorFlynn, Ronan
dc.contributor.authorXu, Jin
dc.contributor.authorGuiming, Fang
dc.contributor.authorYuansong, Qiao
dc.identifier.citationYe, Y., Lee, B., Flynn, R., Xu, J., Guiming, F., Qiao, Y. (2021). Delay-based network utility maximization modelling for congestion control in named data networking. IEEE/ACM Transactions on Networking. 29: 5, 2184 - 2197 Oct. doi: 10.1109/TNET.2021.3090174en_US
dc.description.abstractContent replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control schemes (e.g. MPTCP) cannot be used directly on NDN. This paper proposes a Network Utility Maximization (NUM) model to formulate multi-source and multipath transmission in NDN with in-network caches. From this model, a family of receiver-driven transmission solutions can be derived, named as path-specified congestion control. The path-specified congestion control enables content consumers to separate the traffic control on each path, which consequently facilitates fair and efficient bandwidth sharing amongst all consumers. As a specific instance, a Delay-based Path-specified Congestion Control Protocol (DPCCP) is presented, which utilizes queuing delays as signals to measure and control congestion levels of different bottlenecks. In addition, a set of high-performance congestion control laws are designed to accelerate bandwidth and fairness convergence towards the optimum defined by the NUM model. Finally, DPCCP is compared with state-of-the-art solutions. The experimental evaluations show that DPCCP outperforms existing solutions in terms of bandwidth utilization, convergence time and packet loss.en_US
dc.relation.ispartofIEE/ACM Transactions on Networkingen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectNamed data networkingen_US
dc.subjectCongestion controlen_US
dc.titleDelay-based network utility maximization modelling for congestion control in name data networkingen_US
dc.contributor.affiliationAthlone Institute of Technologyen_US
dc.contributor.sponsorThis work was supported in part by Irish Research Council under ID GOIPD/2019/874, Science Foundation Ireland (SFI) under Grant Number 16/RC/3918 and 13/SIRG/2178, co-funded by the European Regional Development Fund, National Natural Science Foundation of China under Grant Number 61671126, Science and Technology Program of Sichuan Province of China under Grant Number 2019JDR0022en_US
dc.identifier.orcid 0000-0003-4608-1451en_US
dc.identifier.orcid 0000-0002-6475-005Xen_US
dc.identifier.orcid 0000-0002-1543-1589en_US
dc.subject.departmentSoftware Research Institute AITen_US

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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International