A Game-Theoretic Rent-Seeking Framework for Improving Multipath TCP Performance

Shiva Raj Pokhrel () and Carey Williamson
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Shiva Raj Pokhrel: School of Information Technology, Deakin University, Geelong, VIC 3220, Australia
Carey Williamson: Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada

Future Internet, 2022, vol. 14, issue 9, 1-23

Abstract: There is no well-defined utility function for existing multipath TCP algorithms. Therefore, network utility maximization (NUM) for MPTCP is a complex undertaking. To resolve this, we develop a novel condition under which Kelly’s NUM mechanism may be used to explicitly compute the equilibrium. We accomplish this by defining a new utility function for MPTCP by employing Tullock’s rent-seeking paradigm from game theory. We investigate the convergence of no-regret learning in the underlying network games with continuous actions. Based on our understanding of the design space, we propose an original MPTCP algorithm that generalizes existing algorithms and strikes a good balance among the important properties. We implemented this algorithm in the Linux kernel, and we evaluated its performance experimentally.

Keywords: multipath TCP; congestion control; Tullock rent seeking; normalized equilibrium (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
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