Approximation Polynomial-Time Algorithms for Consistency-Aware Multi-Server Network Design in Delay-Sensitive Applications

This letter proposes two polynomial-time approximation algorithms for allocating servers to design a consistency-aware multi-server network for delay-sensitive applications. Each algorithm selects servers and determines the main-secondary server pairs to minimize the total delay. Previous work has not provided any polynomial-time algorithm. The proposed algorithms are theoretically guaranteed to output an approximate value within three times the optimal value. Numerical results show that the more computationally efficient of the two algorithms is 46.4 to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5.26 \times 10^{4}$ </tex-math></inline-formula> times faster than an integer linear programming technique, while the maximum delay is, on average, merely 1.0196 times the optimal value.

Authors

Institutions

Publication Details

Journal
IEEE Networking Letters
Published
2025-02-12
DOI
https://doi.org/10.1109/lnet.2025.3541351
Citations
3
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
4.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Approximation Polynomial-Time Algorithms for Consistency-Aware Multi-Server Network Design in Delay-Sensitive Applications

Masayuki Oda, Akio Kawabata, Eiji Oki
3 citations
IEEE Networking Letters
Software-Defined Networks and 5G
4.46
article

Approximation Polynomial-Time Algorithms for Consistency-Aware Multi-Server Network Design in Delay-Sensitive Applications

Masayuki Oda, Akio Kawabata, Eiji Oki
article en
3 citations

Abstract

This letter proposes two polynomial-time approximation algorithms for allocating servers to design a consistency-aware multi-server network for delay-sensitive applications. Each algorithm selects servers and determines the main-secondary server pairs to minimize the total delay. Previous work has not provided any polynomial-time algorithm. The proposed algorithms are theoretically guaranteed to output an approximate value within three times the optimal value. Numerical results show that the more computationally efficient of the two algorithms is 46.4 to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5.26 \times 10^{4}$ </tex-math></inline-formula> times faster than an integer linear programming technique, while the maximum delay is, on average, merely 1.0196 times the optimal value.

IEEE Networking LettersVol. 7(2)
Toyohashi University of Technology (JP), Kyoto University (JP), Kyoto College of Graduate Studies for Informatics (JP)
Openalex Percentile: Top 7%
Software-Defined Networks and 5G
4.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Approximation Polynomial-Time Algorithms for Consistency-Aware Multi-Server Network Design in Delay-Sensitive Applications — Masayuki Oda, Akio Kawabata, et al. · IEEE Networking Letters (2025) | TGRS Research Map | TGRS