Details

Autor(en) / Beteiligte

• Barros, Celestino
• Rocio, Vitor
• Sousa, Andre
• Paredes, Hugo

Titel

Job Scheduling in Fog Paradigm - A Proposal of Context-aware Task Scheduling Algorithms

Ist Teil von

• 2020 International Conference on Information Technology Systems and Innovation (ICITSI), 2020, p.451-458

Ort / Verlag

IEEE

Erscheinungsjahr

2020

Quelle

IEEE Xplore

Beschreibungen/Notizen

• According to the author's 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.