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

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.