Multi-metric Approach for Decomposition of Microservice-Based Data Science Workflows
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36889-9_24
Reference20 articles.
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2. Athanasopoulos, D., Zarras, A.V., Miskos, G., Issarny, V., Vassiliadis, P.: Cohesion-driven decomposition of service interfaces without access to source code. IEEE Trans. Serv. Comput. 8(4), 550–562 (2015)
3. Bao, L., Wu, C., Bu, X., Ren, N., Shen, M.: Performance modeling and workflow scheduling of microservice-based applications in clouds. IEEE Trans. Parallel Distrib. Syst. 30(9), 2114–2129 (2019)
4. Camilli, M., Colarusso, C., Russo, B., Zimeo, E.: Domain metric driven decomposition of data-intensive applications. In; 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), pp. 189–196 (2020)
5. Capuano, R., Muccini, H.: A systematic literature review on migration to microservices: a quality attributes perspective. In: IEEE 19th International Conference on Software Architecture Companion (ICSA-C), vol. 19, pp. 120–123 (2022)
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