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Online machine learning for auto-scaling in the edge computing

  • Published:2022-12 Issue: Volume:87 Page:101722
  • ISSN:1574-1192
  • Container-title:Pervasive and Mobile Computing
  • language:en
  • Short-container-title:Pervasive and Mobile Computing

Author:

Silva Thiago Pereira daORCID,Neto Aluizio Rocha,Batista Thais Vasconcelos,Delicato Flávia C.,Pires Paulo F.,Lopes Frederico

Funder

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference46 articles.

1. Distributing intelligence to the edge and beyond [research frontier];Ramos;IEEE Comput. Intell. Mag.,2019

2. Leveraging edge intelligence for video analytics in smart city applications;Rocha Neto;Information,2021

3. An architecture for distributed video stream processing in IoMT systems;Neto;Open J. Internet Things,2020

4. Optimizing resource allocation in edge-distributed stream processing;Neto,2021

5. OpenFog reference architecture for fog computing;OpenFog,2017

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI and Computing Horizons: Cloud and Edge in the Modern Era;Journal of Sensor and Actuator Networks;2024-08-09

2. An online ensemble method for auto-scaling NFV-based applications in the edge;Cluster Computing;2024-05-01

3. SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua;Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing;2023-12-04

4. Research on Query Task Fragmentation in the Scenario of Storage and Compute Separation;2023 International Conference on Intelligent Computing and Next Generation Networks（ICNGN);2023-11-17

5. A Comparative Analysis of Machine Learning Techniques for Enhanced Resource Management in Multi-Access Edge Computing;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12
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