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Article

An Efficient Resource Scheduling Strategy for V2X Microservice Deployment in Edge Servers

School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
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Future Internet 2020, 12(10), 172; https://doi.org/10.3390/fi12100172
Received: 9 September 2020 / Revised: 9 October 2020 / Accepted: 14 October 2020 / Published: 15 October 2020
The fast development of connected vehicles with support for various V2X (vehicle-to-everything) applications carries high demand for quality of edge services, which concerns microservice deployment and edge computing. We herein propose an efficient resource scheduling strategy to containerize microservice deployment for better performance. Firstly, we quantify three crucial factors (resource utilization, resource utilization balancing, and microservice dependencies) in resource scheduling. Then, we propose a multi-objective model to achieve equilibrium in these factors and a multiple fitness genetic algorithm (MFGA) for the balance between resource utilization, resource utilization balancing, and calling distance, where a container dynamic migration strategy in the crossover and mutation process of the algorithm is provided. The simulated results from Container-CloudSim showed the effectiveness of our MFGA. View Full-Text
Keywords: containerized microservice; resource scheduling; edge computing containerized microservice; resource scheduling; edge computing
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MDPI and ACS Style

Shi, Y.; Guo, Y.; Lv, L.; Zhang, K. An Efficient Resource Scheduling Strategy for V2X Microservice Deployment in Edge Servers. Future Internet 2020, 12, 172. https://doi.org/10.3390/fi12100172

AMA Style

Shi Y, Guo Y, Lv L, Zhang K. An Efficient Resource Scheduling Strategy for V2X Microservice Deployment in Edge Servers. Future Internet. 2020; 12(10):172. https://doi.org/10.3390/fi12100172

Chicago/Turabian Style

Shi, Yanjun, Yijia Guo, Lingling Lv, and Keshuai Zhang. 2020. "An Efficient Resource Scheduling Strategy for V2X Microservice Deployment in Edge Servers" Future Internet 12, no. 10: 172. https://doi.org/10.3390/fi12100172

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