A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices

Author:

Samir AreegORCID,Al-Wosabi AbdoORCID,Khan MohsinORCID,Dagenborg HåvardORCID

Publisher

Springer Nature Switzerland

Reference29 articles.

1. Alspach, K.: Major vulnerability found in open source dev tool for kubernetes (2022). https://venturebeat.com/security/major-vulnerability-found-in-open-source-dev-tool-for-kubernetes/

2. Assuncao, L., Cunha, J.C.: Dynamic workflow reconfigurations for recovering from faulty cloud services, vol. 1, pp. 88–95. IEEE Computer Society (2013)

3. Chiba, T., Nakazawa, R., Horii, H., Suneja, S., Seelam, S.: Confadvisor: a performance-centric configuration tuning framework for containers on kubernetes, pp. 168–178 (2019)

4. Fairwinds: Kubernetes benchmark report security, cost, and reliability workload results (2023). https://www.fairwinds.com/kubernetes-config-benchmark-report

5. Fine, S., Singer, Y., Tishby, N.: The hierarchical hidden Markov model: analysis and applications. Mach. Learn. 32, 41–62 (1998)

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