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- Title
A Hybrid Genetic Algorithm with Integer Coding for Task Offloading in Edge-Cloud Cooperative Computing.
- Authors
Bo Wang; Bin Lv; Ying Song
- Abstract
Edge-Cloud Cooperative Computing (E3C) is an efficient way to address the resource scarcity issue of mobile devices by edge servers with low network delays and the cloud with abundant computing resources. To improve the user satisfaction which directly affects the profit and the reputation of service providers, we focus on the task offloading problem for E3C in this paper. We design an integer genetic algorithm incorporating earliest deadline first (EDF) to map each chromosome as a task offloading solution. Our method uses each gene of a chromosome to represent the computing core that the corresponding task assigned to, and decides the task execution order by EDF in each computing core. Experiment results show that our method achieves better accepted ratio and resource efficiency than several offloading methods based on heuristics, the particle swarm optimization, and the binary genetic algorithm.
- Subjects
ELECTRICITE de France SA; GENETIC algorithms; PARTICLE swarm optimization; GENE mapping
- Publication
IAENG International Journal of Computer Science, 2022, Vol 49, Issue 2, p503
- ISSN
1819-656X
- Publication type
Article