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Optimal and Automated Deployment for Microservices

  • Published:2019 Issue: Volume: Page:351-368
  • ISSN:0302-9743
  • Container-title:Fundamental Approaches to Software Engineering
  • language:
  • Short-container-title:

Author:

Bravetti Mario,Giallorenzo Saverio,Mauro Jacopo,Talevi Iacopo,Zavattaro Gianluigi

Publisher

Springer International Publishing

Reference39 articles.

1. Lecture Notes in Computer Science;E Ábrahám,2016

2. Amazon: Amazon CloudWatch. https://aws.amazon.com/cloudwatch/ . Accessed Jan 2019

3. Amazon: AWS auto scaling. https://aws.amazon.com/autoscaling/ . Accessed Jan 2019

4. Apache: Apache Mesos. http://mesos.apache.org/ . Accessed Jan 2019

5. Bergmayr, A., et al.: A systematic review of cloud modeling languages. ACM Comput. Surv. 51(1), 22:1–22:38 (2018)

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1. Towards Sustainable Deployment of Microservices over the Cloud-IoT Continuum, with FREEDA;Proceedings of the 4th Workshop on Flexible Resource and Application Management on the Edge;2024-06-03

2. Integrated Timed Architectural Modeling/Execution Language;Lecture Notes in Computer Science;2024

3. Predicting resource consumption of Kubernetes container systems using resource models;Journal of Systems and Software;2023-09

4. Intent-Based AI-Enhanced Service Orchestration for Application Deployment and Execution in the Cloud Continuum;Service-Oriented and Cloud Computing;2023

5. A Cloud-Based Container Microservices: A Review on Load-Balancing and Auto-Scaling Issues;International Journal of Data Science;2022-09-07
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