Task scheduling model for fog paradigm

Barros, Celestino Lopes de; Rocio, Vitor; Sousa, André; Paredes, Hugo

http://hdl.handle.net/10400.2/11462

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Authors

Barros, Celestino Lopes de

Rocio, Vitor

Sousa, André

Paredes, Hugo

Abstract(s)

Task scheduling in fog paradigm is highly complex and in the literature, there are still few studies. In the cloud architecture, it is widely studied and in many researches, it is approached from the perspective of service providers. Trying to bring innovative contributions in these areas, in this paper, we propose a model to the context-aware task-scheduling problem for fog paradigm. In our proposal, different context parameters are normalized through Min-Max normalization; requisition priorities are defined through the application of the Multiple Linear Regression (MLR) technique and scheduling is performed using Multi-Objective Non-Linear Programming Optimization (MONLIP) technique.

Keywords

Fog computing Task scheduling

URI

http://hdl.handle.net/10400.2/11462

Citation

Barros, C., Rocio, V., Sousa, A., & Paredes, H. (2021, February). Task Scheduling Model for Fog paradigm. In 9th International Workshop on ADVANCEs in ICT Infrastructures and Services (ADVANCE 2021), Zaragoza, Spain, pp. 43-47.