Self-adaptive autoscaling algorithm for SLA-sensitive applications running on the Kubernetes clusters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-023-04082-y.pdf
Reference40 articles.
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4. Qu, C., Calheiros, R.N., Buyya, R.: Auto-scaling web applications in clouds: a taxonomy and survey. ACM Comput. Surv. 51(4), 33 (2018). https://doi.org/10.1145/3148149. arXiv:1609.09224
5. Emeakaroha, V.C., Brandic, I., Maurer, M., Dustdar, S.: Low level metrics to high level SLAs - LoM2HiS framework: Bridging the gap between monitored metrics and SLA parameters in cloud environments. In: Smari, (ed.) Proceedings of the 2010 international conference on high performance computing and simulation, HPCS 2010, pp. 48–54. IEEE (2010)
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