A rent-seeking framework for Multipath TCP Pokhrel, Shivaraj and Williamson, Carey 2020, A rent-seeking framework for Multipath TCP, Performance evaluation review, vol. 48, no. 3, pp. 63-70, doi: 10.1145/3453953.3453968. Attached Files Name Description MIMEType Size Downloads Title A rent-seeking framework for Multipath TCP Author(s) Pokhrel, Shivaraj orcid.org/0000-0001-5819-765X Williamson, Carey Journal name Performance evaluation review Volume number 48 Issue number 3 Start page 63 End page 70 Total pages 8 Publisher Association for Computing Machinery Place of publication New York, N.Y. Publication date 2020-12 ISSN 0163-5999 Keyword(s) normalized equilibrium multipath tcp tullock rent seeking congestion control Summary Network utility maximization (NUM) for Multipath TCP (MPTCP) is a challenging task, since there is no well-defined utility function for MPTCP [6]. In this paper, we identify the conditions under which we can use Kelly's NUM mechanism, and explicitly compute the equilibrium. We obtain this equilibrium by using Tullock's rent-seeking framework from game theory to define a utility function for MPTCP. This approach allows us to design MPTCP algorithms with common delay and/or loss constraints at the subflow level. Furthermore, this utility function has diagonal strict concavity, which guarantees a globally unique (normalized) equilibrium. Language eng DOI 10.1145/3453953.3453968 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30149274 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 18 Mar 2021, 07:41:54 EST Fri, 19 Mar 2021, 04:01:31 EST Fri, 19 Mar 2021, 05:07:44 EST Tue, 30 Mar 2021, 07:32:06 EST Tue, 30 Mar 2021, 07:34:15 EST Tue, 30 Mar 2021, 14:56:25 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 18 Mar 2021, 07:41:54 EST

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