[
[1] T. Abdelzaher, Y. Diao, J.L. Hellerstein, C. Lu, X, Zhu, Introduction to control theory and its application to computing systems, in: Performance Modeling and Engineering, Springer US, Boston, MA, 2008, 185–215. ⇒4110.1007/978-0-387-79361-0_7
]Search in Google Scholar
[
[2] B. Brazil, Prometheus: Up & Running : Infrastructure and Application Performance Monitoring, O’Reilly Media, Inc., 2018 ⇒44, 47
]Search in Google Scholar
[
[3] P. Carbone, G. Fóra, S. Ewen, S. Haridi, K. Tzoumas, Lightweight asynchronous snapshots for distributed dataflows, arXiv preprint 1506.08603, 2015 ⇒40, 50
]Search in Google Scholar
[
[4] P. Carbone, S. Ewen, G. Fóra, S. Haridi, S. Richter, K. Tzoumas, State management in Apache Flink: Consistent stateful distributed stream processing, in Proc. VLDB Endow. 10, 12 (2017) 1718–1729 ⇒4010.14778/3137765.3137777
]Search in Google Scholar
[
[5] P. Carbone, A. Katsifodimos, S. Ewen, V. Markl, S. Haridi, K. Tzoumas, Apache flink: Stream and batch processing in a single engine, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering 38, 4 (2015) 28–38 ⇒39
]Search in Google Scholar
[
[6] J. Dobies, J. Wood, Kubernetes Operators: Automating the Container Orchestration Platform, O’Reilly Media, Inc., 2020 ⇒43
]Search in Google Scholar
[
[7] Fabian Paul, Autoscaling Apache Flink with Ververica Platform Autopilot, Ververica Blog, 2021, https://www.ververica.com/blog/autoscaling-apache-flink-with-ververica-platform-autopilot ⇒45
]Search in Google Scholar
[
[8] H. Ghanbari, B. Simmons, M. Litoiu, C. Barna, G. Iszlai, Optimal autoscaling in a IaaS cloud, in: Proceedings of the 9th International Conference on Autonomic Computing, ICAC ’12, Association for Computing Machinery, New York, NY, USA, 2012, 173–178 ⇒4210.1145/2371536.2371567
]Search in Google Scholar
[
[9] K. Hightower, B. Burns, J, Beda, Kubernetes: Up and Running Dive into the Future of Infrastructure, O’Reilly Media, Inc., 1st edn., 2017 ⇒41
]Search in Google Scholar
[
[10] F. Hueske, V. Kalavri, Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications. O’Reilly Media, Inc., 2019 ⇒3910.1007/978-3-319-77525-8_303
]Search in Google Scholar
[
[11] V. Kalavri, J. Liagouris, M. Ho mann, D. Dimitrova, M. Forshaw, T. Roscoe, Three steps is all you need, Fast, accurate, automatic scaling decisions for distributed streaming dataflows, in: Proceedings of the 13th USENIX Conference on Operating Systems Design and Implementation, OSDI’18, USENIX Association, USA, 2018, 783–798 ⇒41
]Search in Google Scholar
[
[12] F. Lombardi, A. Muti, L. Aniello, R. Baldoni, S. Bonomi, L. Querzoni, Pascal: An architecture for proactive auto-scaling of distributed services. Future Generation Computer Systems 98 (2019), 342–361 ⇒4210.1016/j.future.2019.03.003
]Search in Google Scholar
[
[13] T. Lorido-Botrán, J. Miguel-Alonso, J. Lozano, A review of auto-scaling techniques for elastic applications in cloud environments, Journal of Grid Computing 12 (2014) 559–592 ⇒4110.1007/s10723-014-9314-7
]Search in Google Scholar
[
[14] N. Narkhede, G. Shapira, T. Palino, Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale. O’Reilly Media, Inc., 2017 ⇒45, 50
]Search in Google Scholar
[
[15] F. Paul, Towards a Flink Autopilot in Ververica platform, Flink Forward Global (2020), https://www.flink-forward.org/global-2020/conference-program#towards-a-flink-autopilot-in-ververica-platform ⇒45
]Search in Google Scholar
[
[16] S. Ross, Prometheus Adapter for Kubernetes Metrics APIs (10.04.2021), https://github.com/DirectXMan12/k8s-prometheus-adapter ⇒44
]Search in Google Scholar
[
[17] * * * Setting max parallelism, Cloudera Docs / Streaming Analytics 1.2.0 (10.04.2021), https://docs.cloudera.com/csa/1.2.0/configuration/topics/csa-max-parallelism.html ⇒55
]Search in Google Scholar
[
[18] * * * Apache Flink — Stateful Computations over Data Streams (10.04.2021), https://flink.apache.org/⇒39
]Search in Google Scholar
[
[19] * * * Stateful Stream Processing, Apache Flink Documentation (10.04.2021), https://ci.apache.org/projects/flink/flink-docs-release-1.12/concepts/stateful-stream-processing.html ⇒50
]Search in Google Scholar
[
[20] * * * Horizontal Pod Autoscaler, Kubernetes Documentation (10.04.2021), https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/ ⇒41, 44
]Search in Google Scholar
[
[21] S. Ross, Kubernetes Operator for Apache Flink (10.04.2021), https://github.com/GoogleCloudPlatform/flink-on-k8s-operator ⇒41, 43
]Search in Google Scholar
