Research Area:  Fog Computing

Abstract:

According to the authors knowledge task scheduling in fog paradigm is highly complex and in the literature there are still few studies on it. 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 solution 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:  

Author(s) Name:  Celestino Barros; Vítor Rocio; André Sousa; Hugo Paredes

Publisher name:  IEEE

DOI:  0.1109/ICITSI50517.2020.9264945

Volume Information:  

Paper Link:   https://ieeexplore.ieee.org/document/9264945