Task Scheduling Model for Fog paradigm

Task Scheduling Model for Fog paradigm

Celestino Barros (1) , Victor Rocio (2) , André Sousa (3) , Hugo Paredes (4)

1 University of Cabo Verde
2 INESC TEC - Institute for Systems and Computer Engineering, Technology and Science [Braga]
3 Critical TechWorks
4 INESCT TEC and University of Trás-os-Montes

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.

Domaines: Technologies Émergeantes [cs.ET]; Informatique mobile; Réseaux et télécommunications [cs.NI]

Celestino Barros, Victor Rocio, André Sousa, Hugo Paredes. Task Scheduling Model for Fog paradigm. 9th International Workshop on ADVANCEs in ICT Infrastructures and Services (ADVANCE 2021), Rafael Tolosana Calasanz, General Chair; Gabriel Gonzalez-Castañé, TPC Co-Chair; Nazim Agoulmine, Steering Committee Chair, Feb 2021, Zaragoza, Spain. pp.43--47, ⟨10.48545/advance2021-shortpapers-2⟩. ⟨hal-03133649⟩