Title: Performance evaluation of thread pool configurations in the run-time systems of integration platforms

Authors: Daniela L. Freire; Angela Mazzonetto; Rafael Z. Frantz; Fabricia Roos-Frantz; Sandro Sawicki; Vitor Basto-Fernandes

Addresses: Institute of Mathematics and Computer Sciences, University of São Paulo at São Carlos, São Paulo, Brazil ' Department of Exact Sciences and Engineering, Unijuí University, Ijuí-RS, Brazil ' Department of Exact Sciences and Engineering, Unijuí University, Ijuí-RS, Brazil ' Department of Exact Sciences and Engineering, Unijuí University, Ijuí-RS, Brazil ' Department of Exact Sciences and Engineering, Unijuí University, Ijuí-RS, Brazil ' Instituto Universitário de Lisboa (ISCTE-IUL) ISTAR-IUL, Lisbon, Portugal

Abstract: Companies' software ecosystem - composed of local applications and cloud computing services - is made up by the connection of integration platforms and applications. Run-time systems are arguably the most considerable components for integration platforms performance. Our literature review has identified that most integration run-time systems adopt a global pool as configuration for threads. However, it is possible to configure local thread pools to increase the performance of run-time systems. This article brings a comparison between two configurations of thread pools simulating the execution of a real integration problem. Results show that the execution performance through the local pool configuration exceeds the performance through the global pool in high workload scenarios. These results were reviewed by rigorous statistical analysis.

Keywords: application integration; multi-thread; optimisation; run-time system; simulation.

DOI: 10.1504/IJBPIM.2021.124036

International Journal of Business Process Integration and Management, 2021 Vol.10 No.3/4, pp.318 - 329

Received: 06 Mar 2021
Accepted: 05 Jul 2021

Published online: 11 Jul 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article