Real-Time Task Assignment Approach Leveraging Reinforcement Learning with Evolution Strategies for Long-Term Latency Minimization in Fog Computing

Real-Time Task Assignment Approach Leveraging Reinforcement Learning with Evolution Strategies for Long-Term Latency Minimization in Fog Computing

The emerging fog computing technology is characterized by an ultralow latency response, which benefits a massive number of time-sensitive services and applications in the Internet of things (IoT) era. To this end, the fog computing infrastructure must minimize latencies for both service delivery and...

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Bibliographic Details
Main Authors: Long Mai, Nhu-Ngoc Dao, Minho Park
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
real-time task assignment
fog computing
reinforcement learning
evolution strategies
long-term latency minimization
Online Access:http://www.mdpi.com/1424-8220/18/9/2830

Internet

http://www.mdpi.com/1424-8220/18/9/2830

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