New Competitiveness Bounds for the Shared Memory Switch
Ivan Bochkov, Alex Davydow, Nikita Gaevoy, Sergey I. Nikolenko

TL;DR
This paper advances the theoretical understanding of buffer management in shared memory switches by tightening competitiveness bounds for the Longest Queue Drop policy and establishing new lower bounds for all deterministic algorithms.
Contribution
It provides simplified proofs for existing bounds, improves the general lower bound from 4/3 to , and introduces novel methods including linear programming and computer simulations to establish tighter bounds for LQD.
Findings
Lower bound for all deterministic algorithms improved to
LQD is at least 1.44546086-competitive
Linear programming approach yields a lower bound of 1.4427902
Abstract
We consider one of the simplest and best known buffer management architectures: the shared memory switch with multiple output queues and uniform packets. It was one of the first models studied by competitive analysis, with the Longest Queue Drop (LQD) buffer management policy shown to be at least - and at most -competitive; a general lower bound of has been proven for all deterministic online algorithms. Closing the gap between and has remained an open problem in competitive analysis for more than a decade, with only marginal success in reducing the upper bound of . In this work, we first present a simplified proof for the lower bound for LQD and then, using a reduction to the continuous case, improve the general lower bound for all deterministic online algorithms from to . Then, we proceed to improve the lower bound…
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Taxonomy
TopicsOptimization and Search Problems · Distributed systems and fault tolerance · Complexity and Algorithms in Graphs
