A Polylogarithmic-Competitive Algorithm for the k-Server Problem
Nikhil Bansal, Niv Buchbinder, Aleksander Madry, Joseph (Seffi) Naor

TL;DR
This paper introduces the first randomized online algorithm for the k-server problem with a polylogarithmic competitive ratio, significantly improving previous deterministic bounds on arbitrary finite metric spaces.
Contribution
It presents a novel randomized algorithm achieving a polylogarithmic competitive ratio for the k-server problem on any finite metric space.
Findings
Achieves a competitive ratio of O(log^3 n log^2 k log log n)
Improves upon deterministic algorithms when n is sub-exponential in k
First to provide a polylogarithmic-competitive randomized solution
Abstract
We give the first polylogarithmic-competitive randomized online algorithm for the -server problem on an arbitrary finite metric space. In particular, our algorithm achieves a competitive ratio of O(log^3 n log^2 k log log n) for any metric space on n points. Our algorithm improves upon the deterministic (2k-1)-competitive algorithm of Koutsoupias and Papadimitriou [J.ACM'95] whenever n is sub-exponential in k.
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Taxonomy
TopicsOptimization and Search Problems · Supply Chain and Inventory Management · Optimization and Packing Problems
