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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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FaaS-Oriented Node.js Applications in an RPC Approach Using the Node2FaaS Framework., and . IEEE Access, (2023)Computational Resource Allocation in Fog Computing: A Comprehensive Survey., , , , and . ACM Comput. Surv., 55 (14s): 336:1-336:31 (2023)Inferring about fraudulent collusion risk on Brazilian public works contracts in official texts using a Bi-LSTM approach., , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1580-1588. Association for Computational Linguistics, (2020)Performance Comparison of Terraform and Cloudify as Multicloud Orchestrators., and . CCGRID, page 380-389. IEEE, (2020)Orchestration in Fog Computing: A Comprehensive Survey., , , and . ACM Comput. Surv., 55 (2): 29:1-29:34 (2023)From the Sky to the Ground: Comparing Fog Computing with Related Distributed Paradigms., , , , , , and . CLOSER, page 158-169. SCITEPRESS, (2022)Cloud.Jus: Architecture for Provisioning Infrastructure as a Service in the Government Sector., , , and . CLOSER, page 412-421. SciTePress, (2019)Deep-vacuity: A Proposal of a Machine Learning Platform based on High-performance Computing Architecture for Insights on Government of Brazil Official Gazettes., , , , , , and . WEBIST, page 136-143. SCITEPRESS, (2022)Performance Analysis of Main Public Cloud Big Data Services Processing Brazilian Government Data., , and . CARLA, volume 1327 of Communications in Computer and Information Science, page 49-61. Springer, (2020)Remote Procedure Call Approach using the Node2FaaS Framework with Terraform for Function as a Service., and . CLOSER, page 312-319. SCITEPRESS, (2020)