Failure-Resilient Server Allocation Model With Single-Database Connectivity for Delay-Sensitive Internet-of-Things Monitoring

This letter proposes a distributed server allocation model with single-database connectivity for delay-sensitive Internet-of-Things monitoring services. Based on preventive start-time optimization against server failure, it minimizes the maximum transmission delay across all failure scenarios. Unlike the conventional two-database connectivity model, which restricts application server placement, the proposed model allows connection to a single database server, expanding allocation flexibility. Numerical results show that the proposed model reduces the maximum delay under server failure by up to 10.7% in our examined cases compared to the conventional model.

Authors

Institutions

Publication Details

Journal
IEEE Networking Letters
Published
2025-06-13
DOI
https://doi.org/10.1109/lnet.2025.3579672
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Failure-Resilient Server Allocation Model With Single-Database Connectivity for Delay-Sensitive Internet-of-Things Monitoring

Eiji Oki, Shoya Imanaka, Masahiro Inoue
IEEE Networking Letters
IoT and Edge/Fog Computing
article

Failure-Resilient Server Allocation Model With Single-Database Connectivity for Delay-Sensitive Internet-of-Things Monitoring

Eiji Oki, Shoya Imanaka, Masahiro Inoue
article en

Abstract

This letter proposes a distributed server allocation model with single-database connectivity for delay-sensitive Internet-of-Things monitoring services. Based on preventive start-time optimization against server failure, it minimizes the maximum transmission delay across all failure scenarios. Unlike the conventional two-database connectivity model, which restricts application server placement, the proposed model allows connection to a single database server, expanding allocation flexibility. Numerical results show that the proposed model reduces the maximum delay under server failure by up to 10.7% in our examined cases compared to the conventional model.

IEEE Networking LettersVol. 7(3)
Kyoto University (JP), Kyoto College of Graduate Studies for Informatics (JP)
Openalex Percentile: Top 86%
IoT and Edge/Fog Computing
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.