A Dynamic Service Placement Based on Deep Reinforcement Learning in Mobile Edge Computing

A Dynamic Service Placement Based on Deep Reinforcement Learning in Mobile Edge Computing

Mobile edge computing is an emerging paradigm that supplies computation, storage, and networking resources between end devices and traditional cloud data centers. With increased investment of resources, users demand a higher quality-of-service (QoS). However, it is nontrivial to maintain service per...

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Bibliographic Details
Main Authors: Shuaibing Lu, Jie Wu, Jiamei Shi, Pengfan Lu, Juan Fang, Haiming Liu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Network
Subjects:
dynamic service placement
delay optimization
cost efficiency
mobile edge computing
Online Access:https://www.mdpi.com/2673-8732/2/1/8

Internet

https://www.mdpi.com/2673-8732/2/1/8

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