Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing

Sheng Chai; Jimmy Xiangji Huang

doi:10.1007/s10723-024-09744-8

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JOURNAL ARTICLE

Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing

Sheng Chai Jimmy Xiangji Huang

Year: 2024 Journal: Journal of Grid Computing Vol: 22 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s10723-024-09744-8

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Keywords:

Computer science Scheduling (production processes) Distributed computing Artificial neural network Parallel computing Task (project management) Edge computing Deep neural networks Mobile edge computing Enhanced Data Rates for GSM Evolution Artificial intelligence Mathematical optimization

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Cited By

6.69

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Optimization and Search Problems

Physical Sciences → Computer Science → Computer Networks and Communications

Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing

Metrics

Citation History

Topics

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