A framework for black-box SLO tuning of multi-tenant applications in Kubernetes-Reference-Cited by-同舟云学术

A framework for black-box SLO tuning of multi-tenant applications in Kubernetes

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Workshop on Container Technologies and Container Clouds - WOC '19
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Author:

Kaminski Matthijs¹,Truyen Eddy¹,Beni Emad Heydari¹,Lagaisse Bert¹,Joosen Wouter¹

Affiliation:

1. imec-DistriNet, KU Leuven

Funder

Agentschap voor Innovatie door Wetenschap en Technologie

Publisher

ACM Press

Reference24 articles.

1. Alipourfard, O., Liu, H. H., Chen, J., Venkataraman, S., Yu, M., and Zhang, M. Cherrypick: Adaptively unearthing the best cloud configurations for big data analytics. In NSDI (2017).

2. Chen, Y., Iyer, S., Liu, X., Milojicic, D., and Sahai, A. SLA decomposition: Translating service level objectives to system level thresholds. In Autonomic Computing, 2007. ICAC'07. Fourth International Conference on (2007), IEEE.

3. Foundation, C. N. L. Kubernetes deployments, 2018. https://kubernetes.io/docs/concepts/workloads/controllers/deployment/.[Online; Accessed May 18, 2018].

4. Foundation, C. N. L. Kubernetes namespaces, 2018. https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/.[Online; Accessed May 18, 2018].

5. Foundation, C. N. L. Managing compute resources for containers, 2018. https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/.[Online; AccessedMay18, 2018].

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