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Efficient Data as a Service in Fog Computing: An Adaptive Multi-Agent Based Approach., , , and . IEEE Trans. Cloud Comput., 11 (3): 2646-2663 (July 2023)CO2-Aware Adaptation Strategies for Cloud Applications., , , , and . IEEE Trans. Cloud Comput., 4 (2): 152-165 (2016)Measuring and improving energy efficiency of a data center in a self adaptive context.. Polytechnic University of Milan, Italy, (2014)Monitoring-Aware Optimal Deployment for Applications Based on Microservices., , and . IEEE Trans. Serv. Comput., 14 (6): 1849-1863 (2021)Pipeline Design for Data Preparation for Social Media Analysis., , , , and . ACM J. Data Inf. Qual., 15 (4): 42:1-42:25 (December 2023)Improving Health Monitoring With Adaptive Data Movement in Fog Computing., , , , , , , , and . Frontiers Robotics AI, (2020)Information Logistics and Fog Computing: The DITAS* Approach., , , , , , , , , and . CAiSE-Forum-DC, volume 1848 of CEUR Workshop Proceedings, page 129-136. CEUR-WS.org, (2017)Multi-directional detection of scratches in digitized images., , , , and . EUSIPCO, page 248-252. IEEE, (2009)Towards Reliable Data Analyses for Smart Cities., , , , , and . IDEAS, page 304-308. ACM, (2017)Learning Problem Solving Skills from Demonstration: An Architectural Approach., , , , , and . AGI, volume 6830 of Lecture Notes in Computer Science, page 194-203. Springer, (2011)