Intelligent Resource Orchestration for Task Distribution in Hybrid Vehicular Networks
Pages 280 - 285
Abstract
The extensive growth of vehicular applications required highly computational resources to execute the application on time, but due to having limited capacity of resources such as vehicles themselves, it causes latency and more computation load. Thereby, to reduce the overhead on fixed roadside servers in hybrid vehicular networks, we propose an intelligent resource orchestration scheme for task distribution among vehicles at traffic light junctions and parking areas in hybrid vehicular networks. An artificial intelligence based resource orchestration scheme is proposed for estimating edge members to execute task. Further, a task distribution model is proposed at traffic light junctions. Simulation is done using NS3 and the results shows better performance in term of lesser computational time and lower communication load with higher throughput and minimal latency in the proposed scheme. The scheme exhibits that it is efficient with the comparative benchmarks.
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Index Terms
- Intelligent Resource Orchestration for Task Distribution in Hybrid Vehicular Networks
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Published In
January 2024
423 pages
ISBN:9798400716737
DOI:10.1145/3631461
Copyright © 2024 ACM.
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Published: 22 January 2024
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ICDCN '24
ICDCN '24: International Conference on Distributed Computing and Networking
January 4 - 7, 2024
Chennai, India
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