Multi-queue Round Robin Scheduling for Enhanced Performance in Integration Platforms

Authors

  • Daniela Lopes Freire University of São Paulo, Brazil
  • Rafael Z. Frantz Unijuí University, Brazil
  • Vitor Basto-Fernandes University Institute of Lisbon, Portugal
  • Gerson Battisti Unijuí University, Brazil
  • Sandro Sawicki Unijuí University, Brazil
  • Fabricia Roos-Frantz Unijuí University, Brazil

DOI:

https://doi.org/10.5335/rbca.v17i3.16747

Keywords:

Application integration, task scheduling, algorithm, workflow scheduling, integration patterns, round robin

Abstract

Contemporaneous environments involve a large amount of information received from many interconnected devices and integrated by many platforms. The Internet of Things and Cloud computing offer services to deal with such big data so that enterprises can play in their business core by outsourcing the development, configuration, and maintenance of those services and their computational resources. Many enterprises use integration Platforms as a Service to maintain their applications and data synchronously.
However, current integration platform task scheduling algorithms face some difficulties when tackling large volumes of data. In this article, we propose a scheduling algorithm based on the round-robin heuristic through multiple task queues that presents better performance than the traditional First-in-first-out heuristic used by current platforms. We experimented with our algorithm in the execution of an integration process and validated the results using statistical techniques.

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Published

2025-12-17

Issue

Section

Original Paper

How to Cite

[1]
2025. Multi-queue Round Robin Scheduling for Enhanced Performance in Integration Platforms. Brazilian Journal of Applied Computing. 17, 3 (Dec. 2025), 100–113. DOI:https://doi.org/10.5335/rbca.v17i3.16747.