FogBus2
Author:
Affiliation:
1. The University of Melbourne, Australia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3460866.3461768
Reference20 articles.
1. Survey on fog computing: architecture, key technologies, applications and open issues
2. Optimal application deployment in resource constrained distributed edges;Deng S.;IEEE Transactions on Mobile Computing,2020
3. A computation offloading method over big data for IoT-enabled cloud-edge computing
4. An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments
Cited by 18 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. MicroFog: A framework for scalable placement of microservices-based IoT applications in federated Fog environments;Journal of Systems and Software;2024-03
2. Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments;Future Generation Computer Systems;2024-03
3. FLight: A lightweight federated learning framework in edge and fog computing;Software: Practice and Experience;2023-12-12
4. Versatile Cloud Resource Scheduling Based on Artificial Intelligence in Cloud-Enabled Fog Computing Environments;HUM-CENT COMPUT INFO;2023
5. Exploration of advanced computer technology to address analytical and noise improvement issues in machine learning;Journal of Systems and Software;2023-11
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