Deep Learning-Based Task Offloading for Vehicular Edge Computing

Feng Zeng; Chengsheng Liu; Junzhe Tangjiang; Wenjia Li

doi:10.1007/978-3-030-86137-7_32

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Deep Learning-Based Task Offloading for Vehicular Edge Computing

Feng Zeng Chengsheng Liu Junzhe Tangjiang Wenjia Li

Year: 2021 Lecture notes in computer science Pages: 291-298 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-86137-7_32

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Keywords:

Computer science Scheduling (production processes) Computation Edge computing Computation offloading Distributed computing Task analysis Mobile edge computing Dynamic priority scheduling Task (project management) Artificial intelligence Real-time computing Computer network Enhanced Data Rates for GSM Evolution Quality of service Algorithm

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2.87

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0.91

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Topics

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

Deep Learning-Based Task Offloading for Vehicular Edge Computing

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Citation History

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