Journal of System Simulation
Abstract
Abstract: With the advancement of mine intelligence, task offloading technology has become a core technology of mine edge computing (MEC). For edge computing systems deployed with mine low-concurrency devices (MLCD), a discrete-event simulation model for MEC task offloading oriented to MLCD was constructed to solve the collaborative optimization problem of task processing latency and load balancing of mine edge servers (MES). By dynamically simulating the queuing, transmission, and computation processes of tasks, the objective of minimizing task processing latency was achieved. An improved evolutionary algorithm, ISBT-EA, was proposed, which integrated a task-characteristic-driven initialization strategy and local search operators, enhancing the efficiency of strategy optimization in simulation-based evaluation. The simulation results show that, compared with traditional methods, ISBT-EA reduces the average latency by at least 4.77%, providing a reliable simulation and optimization solution for addressing latency optimization and load balancing problems in MLCD scenarios.
Recommended Citation
Guo, Zhaolu and Liu, Qianhui
(2026)
"Simulation and Optimization of Task Offloading in Mine Edge Computing for Low-concurrency Devices,"
Journal of System Simulation: Vol. 38:
Iss.
7, Article 21.
DOI: 10.16182/j.issn1004731x.joss.25-0840
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss7/21
First Page
2091
Last Page
2104
CLC
TP391.9
Recommended Citation
Guo Zhaolu, Liu Qianhui. Simulation and Optimization of Task Offloading in Mine Edge Computing for Low-concurrency Devices[J]. Journal of System Simulation, 2026, 38(7): 2091-2104.
DOI
10.16182/j.issn1004731x.joss.25-0840
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