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Osmotic management of distributed complex systems: A declarative decentralised approach.

, , , and . J. Softw. Evol. Process., (2022)

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Evaluation and efficiency comparison of evolutionary algorithms for service placement optimization in fog architectures., , and . Future Gener. Comput. Syst., (2019)Ontology Matching based On Class Context: to solve interoperability problem at Semantic Web.. 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)Performance-related Ontologies for Ubiquitous Intelligence based on Semantic Web Applications., , and . AINA (1), page 675-682. IEEE Computer Society, (2006)Web Operational Analysis Through Performance-Related Ontologies in OWL for Intelligent Applications., , and . ICWE, volume 3579 of Lecture Notes in Computer Science, page 612-614. Springer, (2005)Analyzing the Applicability of a Multi-Criteria Decision Method in Fog Computing Placement Problem., , and . FMEC, page 13-20. IEEE, (2019)Distributed genetic algorithm for application placement in the compute continuum leveraging infrastructure nodes for optimization., , and . Future Gener. Comput. Syst., (2024)Comparing Evolutionary Optimization Algorithms for the Fog Service Placement Problem., , and . UCC, page 57. ACM, (2023)Multi-objective application placement in fog computing using graph neural network-based reinforcement learning., and . J. Supercomput., 80 (19): 27073-27094 (December 2024)Comparing centrality indices for network usage optimization of data placement policies in fog devices., , and . FMEC, page 115-122. IEEE, (2018)