Online facility location with weights and congestion
Arghya Chakraborty, Rahul Vaze

TL;DR
This paper introduces online algorithms for facility location problems with weighted requests and congestion, achieving optimal or constant competitive ratios in these challenging variants.
Contribution
It presents the first online algorithms with provably optimal or constant competitive ratios for weighted requests and congestion variants of facility location.
Findings
Achieved an $ ilde{O}( ext{log} n)$ competitive ratio for weighted requests, proven to be optimal.
Designed algorithms with constant competitive ratio for congestion with monomial costs.
Extended online facility location analysis to more realistic, complex scenarios.
Abstract
The classic online facility location problem deals with finding the optimal set of facilities in an online fashion when demand requests arrive one at a time and facilities need to be opened to service these requests. In this work, we study two variants of the online facility location problem; (1) weighted requests and (2) congestion. Both of these variants are motivated by their applications to real life scenarios and the previously known results on online facility location cannot be directly adapted to analyse them. Weighted requests: In this variant, each demand request is a pair where is the standard location of the demand while is the corresponding weight of the request. The cost of servicing request at facility is . For this variant, given requests, we present an online algorithm attaining a competitive ratio of …
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