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AI Augmented Edge and Fog Computing: Trends and Challenges., , , , , , , , and . CoRR, (2022)802.11p: Insights from the MAC and Physical Layers for a Cooperate Car Following Application., , , , , and . INTSYS, volume 222 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 226-236. Springer, (2017)AI augmented Edge and Fog computing: Trends and challenges., , , , , , , , and . J. Netw. Comput. Appl., (July 2023)Microservices-based IoT Application Placement within Heterogeneous and Resource Constrained Fog Computing Environments., , and . UCC, page 71-81. ACM, (2019)iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments., , , and . J. Syst. Softw., (2022)Towards Secure Management of Edge-Cloud IoT Microservices Using Policy as Code., and . ECSA, volume 14889 of Lecture Notes in Computer Science, page 270-287. Springer, (2024)MicroFog: A framework for scalable placement of microservices-based IoT applications in federated Fog environments., , and . J. Syst. Softw., (March 2024)A Multivocal Review of MLOps Practices, Challenges and Open Issues., , , , and . CoRR, (2024)Microservices-based IoT Applications Scheduling in Edge and Fog Computing: A Taxonomy and Future Directions., , and . CoRR, (2022)MicroFog: A Framework for Scalable Placement of Microservices-based IoT Applications in Federated Fog Environments., , and . CoRR, (2023)