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MicroCloud: A Container-Based Solution for Efficient Resource Management in the Cloud.

, , , and . SmartCloud, page 218-223. IEEE Computer Society, (2016)

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Fine-Grained Dynamic Resource Allocation for Big-Data Applications., , and . IEEE Trans. Software Eng., 47 (8): 1668-1682 (2021)NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge., , , and . SEAMS, page 144-155. ACM/IEEE, (2022)Federated Machine Learning as a Self-Adaptive Problem., , and . SEAMS@ICSE, page 41-47. IEEE, (2021)Towards Vertically Scalable Spark Applications., and . Euro-Par Workshops, volume 11339 of Lecture Notes in Computer Science, page 106-118. Springer, (2018)Distributed Coordinated Adaptation of Cloud-Based Applications., , and . SEFM Workshops, volume 9509 of Lecture Notes in Computer Science, page 215-227. Springer, (2015)Open Challenges in Federated Machine Learning., , and . IEEE Internet Comput., 27 (2): 20-27 (March 2023)A multi-faceted analysis of the performance variability of virtual machines., , , and . Softw. Pract. Exp., 53 (11): 2067-2091 (November 2023)Pangaea: Semi-automated Monolith Decomposition into Microservices., , , and . ICSOC, volume 13121 of Lecture Notes in Computer Science, page 830-838. Springer, (2021)DeepThought: A Reputation and Voting-Based Blockchain Oracle., , , and . ICSOC, volume 13740 of Lecture Notes in Computer Science, page 369-383. Springer, (2022)Symbolic execution-driven extraction of the parallel execution plans of Spark applications., , and . ESEC/SIGSOFT FSE, page 246-256. ACM, (2019)