Online machine learning for auto-scaling in the edge computing

Thiago Pereira da Silva; Aluizio Rocha Neto; Thaı́s Batista; Flávia C. Delicato; Paulo F. Pires; Frederico Lopes

doi:10.1016/j.pmcj.2022.101722

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JOURNAL ARTICLE

Online machine learning for auto-scaling in the edge computing

Thiago Pereira da Silva Aluizio Rocha Neto Thaı́s Batista Flávia C. Delicato Paulo F. Pires Frederico Lopes

Year: 2022 Journal: Pervasive and Mobile Computing Vol: 87 Pages: 101722-101722 Publisher: Elsevier BV

DOI: 10.1016/j.pmcj.2022.101722

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Keywords:

Computer science Workload Cloud computing Edge computing Enhanced Data Rates for GSM Evolution Scaling Distributed computing Node (physics) Resource allocation Artificial intelligence Machine learning Operating system Computer network

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Cited By

3.52

FWCI (Field Weighted Citation Impact)

Refs

0.90

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

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