Selective Edge Computing for Mobile Analytics

Selective Edge Computing for Mobile Analytics

An increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitting and processing large data volumes at distant cloud-deployed servers. However, due to memory and computing limitations...

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Bibliographic Details
Main Authors: Galanopoulos, A. (Author), Iosifidis, G. (Author), Leith, D.J (Author), Salonidis, T. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Cloud computing
Cloud-computing
Data analytics
Data Analytics
Data handling
Delay
Delays
Edge computing
Edge Computing
Image recognition
Job analysis
Learning systems
Network optimization
Network Optimization
Performance evaluation
Performances evaluation
Prediction algorithms
Resource Allocation
Resources allocation
Servers
Subgradient method.
Sub-gradient methods
Task analysis
Wireless communication
Wireless communications
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