Pasquale Salza
Una-May O'Reilly
ABSTRACT
We present cCube, a microservices open source architecture used to automatically create an application of one or more Evolutionary Machine Learning (EML) classification algorithms that can be deployed to the cloud with automatic data factorization, training, result filtering and fusion.
- Ignacio Arnaldo, Kalyan Veeramachaneni, Andrew Song, and Una-May O'Reilly. 2015. Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning. IEEE Computational Intelligence Magazine 10, 1 (Feb. 2015), 20--32.Google Scholar
Cross Ref
- Erhan Ekici. 2014. Microservices Architecture, Containers and Docker. (Dec. 2014). https://www.ibm.com/developerworks/community/blogs/1ba56fe3-efad-432f-a1ab-58ba3910b073/entry/microservices_architecture_containers_and_dockerGoogle Scholar
- Nicolas Ferry, Alessandro Rossini, Franck Chauvel, Brice Morin, and Arnor Solberg. 2014. Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-Cloud Systems. In IEEE International Conference on Cloud Computing (CLOUD). 887--894. Google ScholarDigital Library
- James Lewis and Martin Fowler. 2014. Microservices, a Definition of This New Architectural Term. (March 2014). https://martinfowler.com/articles/microservices.htmlGoogle Scholar
- John Vlissides, Richard Helm, Ralph Johnson, and Erich Gamma. 1994. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley.Google Scholar
Index Terms
- cCube: a cloud microservices architecture for evolutionary machine learning classification
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