Abstract
Microservices are an emerging service architecture that, when combined with mobile edge computing (MEC), can offer low latency to nearby mobile users. Several instances of microservices hosted on the server can be started or stopped flexibly to address computational requests from users at various times of the day or night thanks to the characteristics of dynamic deployment, quick start-up, and easy transfer of microservices. from the perspective of the application provider, we need to ensure the quality of service for end-users while minimizing the number of leased edge servers. To enable efficient use of MEC resources and provide reliable performance for mobile devices, we developed an Ant colony Optimization algorithm for computational offloading based on Microservices in MEC (ACO_MMCO). then we simulate the scenario using the simulation program iFogSim2 and real data sets. According to the experimental findings, this method’s generated offloading policy outperforms the benchmark method in a number of performance evaluation criteria.
Supported by National Natural Science Foundation of China Project U20A6003.
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Zhang, S., Xu, H., Nie, L., Zhan, D. (2023). Microservice-Based Computation Offloading in Mobile Edge Computing. In: Wang, Z., Wang, S., Xu, H. (eds) Service Science. ICSS 2023. Communications in Computer and Information Science, vol 1844. Springer, Singapore. https://doi.org/10.1007/978-981-99-4402-6_36
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DOI: https://doi.org/10.1007/978-981-99-4402-6_36
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