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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 134 |
| Published: August 2026 |
| Authors: Oleg Iliev |
10.5120/ijca0e8b7152c219
|
Oleg Iliev . Experimental AHP-TOPSIS Evaluation of Communication Technologies for Real-Time M2M Data Streaming Systems. International Journal of Computer Applications. 187, 134 (August 2026), 1-9. DOI=10.5120/ijca0e8b7152c219
@article{ 10.5120/ijca0e8b7152c219,
author = { Oleg Iliev },
title = { Experimental AHP-TOPSIS Evaluation of Communication Technologies for Real-Time M2M Data Streaming Systems },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 134 },
pages = { 1-9 },
doi = { 10.5120/ijca0e8b7152c219 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Oleg Iliev
%T Experimental AHP-TOPSIS Evaluation of Communication Technologies for Real-Time M2M Data Streaming Systems%T
%J International Journal of Computer Applications
%V 187
%N 134
%P 1-9
%R 10.5120/ijca0e8b7152c219
%I Foundation of Computer Science (FCS), NY, USA
This paper presents an experimental evaluation of communication technologies for real-time Machine-to-Machine (M2M) data streaming systems based on an integrated Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) decision model. Four communication technologies - HTTP/1.1, HTTP/2, RabbitMQ, and Apache Kafka - were evaluated under controlled LAN conditions using a sustained stress-test workload of up to 50,000 generated messages per second. The evaluation considered six criteria: average latency, 99thpercentile latency, message loss, ordering consistency, transaction success, and throughput. The results indicate that Apache Kafka achieves the highest overall suitability with a TOPSIS closeness coefficient of Ci = 0.946, followed by RabbitMQ (Ci = 0.777), HTTP/2 (Ci = 0.607), and HTTP/1.1 (Ci = 0.000). The findings demonstrate that multi-criteria decision models provide a practical framework for objective communication technology selection in real-time M2M data streaming systems by simultaneously considering latency, reliability, throughput, and domain-specific operational requirements.