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Computational Resource Allocation in Fog Computing: A Comprehensive Survey.

, , , , and . ACM Comput. Surv., 55 (14s): 336:1-336:31 (2023)

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Computational Resource Allocation in Fog Computing: A Comprehensive Survey., , , , and . ACM Comput. Surv., 55 (14s): 336:1-336:31 (2023)Monitoring Fog Computing: a Review, Taxonomy and Open Challenges., , , , and . CoRR, (2022)Cost and Time Prediction for Efficient Execution of Bioinformatics Workflows in Federated Cloud., , and . BIBM, page 1703-1710. IEEE Computer Society, (2018)BioNimbuZ: A federated cloud platform for bioinformatics applications., , , , , , , and . BIBM, page 548-555. IEEE Computer Society, (2016)MAS-Cloud+: A novel multi-agent architecture with reasoning models for resource management in multiple providers., , , , , and . Future Gener. Comput. Syst., (2024)BioNimbuZ: a federated cloud platform for bioinformatics applications., , , , , and . Int. J. Data Min. Bioinform., 18 (2): 144-163 (2017)Computational resource and cost prediction service for scientific workflows in federated clouds., , , and . Future Gener. Comput. Syst., (2021)Resource Prediction Service for Efficient Execution of Bioinformatics Workflows in Federated Cloud with Machine Learning., , , and . BIBM, page 1975-1983. IEEE, (2021)