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Flow Assignment and Processing on a Distributed Edge Computing Platform
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DOI：10.1109/TVT.2022.3172792.png)
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Abstract
En 中文
The evolution of telecommunication networks toward the fifth generation of mobile services (5G), along with the increasing presence of cloud-native applications, and the development of Cloud and Mobile Edge Computing (MEC) paradigms, have opened up new opportunities for the monitoring and management of logistics and transportation. We address the case of distributed streaming platforms with multiple message brokers to develop an optimisation model for the real-time assignment and load balancing of event streaming generated data traffic among Edge Computing facilities. The performance indicator function to be optimised is derived by adopting queuing models with different granularity (packet- and flow-level) that are suitably combined. A specific use case concerning a logistics application is considered and numerical results are provided to show the effectiveness of the optimisation procedure, also in comparison to a static assignment proportional to the processing speed of the brokers.
Keywords:
Data models
Optimization
5G mobile communication
Logistics
Real-time systems
Transportation
Temperature sensors
Flow assignment
resource allocation
distributed computing
MEC
5G
Journal
IF:
7.1
Papers:
1.8W
Citations:
6.6W