QoS prediction in intelligent edge computing based on feature learning

QoS prediction in intelligent edge computing based on feature learning

Abstract With the development of 5G and 6G, more computing and network resources on edge nodes are deployed close to the terminal. Meanwhile, the number of smart devices and intelligent services has grown significantly, which makes it difficult for users to choose a suitable service. The rich contex...

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Bibliographic Details
Main Authors: Hongxia Zhang, Dengyue Wang, Wei Zhang, Lizhuang Tan, Godfrey Kibalya, Peiying Zhang, Kostromitin Konstantin Igorevich
Format: Article
Language:English
Published: SpringerOpen 2023-02-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Intelligent edge computing
Service recommendations
QoS prediction
multi-head self-attention
feature learning
Online Access:https://doi.org/10.1186/s13677-023-00391-0

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