Client assignment problems for latency minimization

Gruia Călinescu () and Xiaolang Wang ()
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Gruia Călinescu: Illinois Institute of Technology
Xiaolang Wang: Illinois Institute of Technology

Journal of Combinatorial Optimization, 2019, vol. 37, issue 3, No 6, 889-900

Abstract: Abstract Interactivity is a primary performance measure for distributed interactive applications (DIAs). In a network supporting a DIA, interactivity performance depends on both client-to-server network latencies and inter-server network latencies. An optimization problem, which we term FCSA, is to find an optimum way how clients are assigned to servers such that the largest latency on an interactivity path between two clients (client 1 to server 1, server 1 to server 2, then server 2 to client 2) is minimized. Previous work showed that it is NP-hard to approximate this problem with a ratio better than 4 / 3 and gave a 3-approximation algorithm. In this paper, we give a (3 / 2)-approximation algorithm for FCSA, and show that it is NP-hard to obtain a better ratio. We also give a (3 / 2)-approximation algorithm when server capacity constraints are considered.

Keywords: Approximation algorithm; Bottleneck minimization problem; Best possible approximation (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10878-018-0326-2

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