New Results and Bounds on Online Facility Assignment Problem
Saad Al Muttakee, Abu Reyan Ahmed, Md. Saidur Rahman

TL;DR
This paper investigates online facility assignment on various metric spaces, providing new bounds on algorithm competitiveness, including tight bounds for grid graphs, arbitrary graphs, and lower bounds for line metrics.
Contribution
It introduces improved competitive ratio bounds for greedy and optimal-fill algorithms on grid and arbitrary graphs, and establishes a lower bound for line metrics.
Findings
Algorithm Greedy has competitive ratio r*c + r + c on grid graphs.
Algorithm Optimal-Fill has competitive ratio O(r*c) on grid graphs.
No online algorithm can have a competitive ratio less than 9.001 on line metrics.
Abstract
Consider an online facility assignment problem where a set of facilities of equal capacity is situated on a metric space and customers arrive one by one in an online manner on that space. We assign a customer to a facility before a new customer arrives. The cost of this assignment is the distance between and . The objective of this problem is to minimize the sum of all assignment costs. Recently Ahmed et al. (TCS, 806, pp. 455-467, 2020) studied the problem where the facilities are situated on a line and computed competitive ratio of "Algorithm Greedy" which assigns the customer to the nearest available facility. They computed competitive ratio of algorithm named "Algorithm Optimal-Fill" which assigns the new customer considering optimal assignment of all previous customers. They also studied the problem…
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Taxonomy
TopicsOptimization and Search Problems · Facility Location and Emergency Management · Smart Parking Systems Research
