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Computation Offloading Optimization in Mobile Edge Computing Based on HIBSA
- Source :
- Mobile Information Systems, Vol 2021 (2021)
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- Multiaccess edge computation (MEC) is a hotspot in 5G network. The problem of task offloading is one of the core problems in MEC. In this paper, a novel computation offloading model which partitions tasks into subtasksis proposed. This model takes communication and computing resources, energy consumption of intelligent mobile devices, and weight of tasks into account. We then transform the model into a multiobjective optimization problem based on Pareto that balances the task weight and time efficiency of the offloaded tasks. In addition, an algorithm based on hybrid immune and bat scheduling algorithm (HIBSA) is further designed to tackle the proposed multiobjective optimization problem. The experimental results show that HIBSA can meet the requirements of both the task execution deadline and the weight of the offloaded tasks.
- Subjects :
- Mobile edge computing
Article Subject
Computer Networks and Communications
Computer science
Distributed computing
Computation
Energy consumption
TK5101-6720
Computer Science Applications
Task (project management)
Telecommunication
Computation offloading
Enhanced Data Rates for GSM Evolution
Mobile device
5G
Subjects
Details
- Language :
- English
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Mobile Information Systems
- Accession number :
- edsair.doi.dedup.....177f17d13a3eeffc6e300ebf4268a3fb