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Comparing Evolutionary Optimization Algorithms for the Fog Service Placement Problem.

, , and . UCC, page 57. ACM, (2023)

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Analyzing the Applicability of a Multi-Criteria Decision Method in Fog Computing Placement Problem., , and . FMEC, page 13-20. IEEE, (2019)Comparing Evolutionary Optimization Algorithms for the Fog Service Placement Problem., , and . UCC, page 57. ACM, (2023)Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization., , and . Future Gener. Comput. Syst., (2024)Evaluation and efficiency comparison of evolutionary algorithms for service placement optimization in fog architectures., , and . Future Gener. Comput. Syst., (2019)Hybrid Neural Network Based Models for Evapotranspiration Prediction Over Limited Weather Parameters., , , and . IEEE Access, (2023)Hardware support for fault tolerance in triple redundant CAN controllers., , and . ICECS, page 457-460. IEEE, (2002)Adaptive fragment designs to reduce the latency of web caching in content aggregation systems.. University of the Balearic Islands, Spain, (2012)Cloud Resource Management to Improve Energy Efficiency Based on Local Nodes Optimizations., , , and . ANT/SEIT, volume 83 of Procedia Computer Science, page 878-885. Elsevier, (2016)On the Linearity of Performance and Energy at Virtual Machine Consolidation: The CiS2 Index for CPU Workload in Server Saturation., , and . HPCC/SmartCity/DSS, page 928-933. IEEE, (2018)The Applicability of Balanced ESI for Web Caching - A Proposed Algorithm and a Case of Study., , and . WEBIST (1), page 197-203. INSTICC Press, (2007)