ML-enabled Service Discovery for Microservice Architecture: a QoS Approach
Author:
Affiliation:
1. International Institute of Information Technology, Hyderabad, India
2. Linnaeus University, Växjö, Sweden
3. University of L'Aquila, L'Aquila, Italy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3605098.3635942
Reference23 articles.
1. Unsupervised learning approach for web application auto-decomposition into microservices
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3. A hybrid approach for efficient Web service composition with end-to-end QoS constraints
4. Jesper Andersson, Andreas Heberle, Jens Kirchner, and Welf Lowe. 2011. Service Level Achievements - Distributed Knowledge for Optimal Service Selection. In 2011 IEEE Ninth European Conference on Web Services.
5. A Markovian Decision Process;Bellman Richard;Journal of Mathematics and Mechanics,1957
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