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A Game-Theoretic Rent-Seeking Framework for Improving Multipath TCP Performance †
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posted on 2023-02-14, 03:01 authored by Shiva PokhrelShiva Pokhrel, C WilliamsonThere 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.
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Journal
Future InternetVolume
14Article number
ARTN 257Publisher DOI
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1999-5903eISSN
1999-5903Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
9Publisher
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