IaaS Reactive Autoscaling Performance Challenges

Vladimir Podolskiy; Anshul Jindal; Michael Gerndt

doi:10.1109/CLOUD.2018.00144

IaaS Reactive Autoscaling Performance Challenges

Vladimir Podolskiy, Anshul Jindal, Michael Gerndt

Informatics 10 - Associate Professorship of Architecture of Parallel and Distributed Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

Abstract

The main feature of a cloud application is its scalability. Major IaaS cloud services providers (CSP) employ autoscaling on the level of virtual machines (VM). Other virtualization solutions (e.g. containers, pods) can also scale. An application scales in response to change in observed metrics, e.g. in CPU utilization. Occasionally, cloud applications exhibit the inability to meet the Quality of Service (QoS) requirements during the scaling caused by the reactivity of autoscaling solutions. This paper provides the results of the autoscaling performance evaluation for two-layered virtualization (VMs and Kubernetes pods) conducted in the public clouds of AWS, Microsoft and Google using the approach and the Autoscaling Performance Measurement Tool developed by the authors.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services
Publisher	IEEE Computer Society
Pages	954-957
Number of pages	4
ISBN (Electronic)	9781538672358
DOIs	https://doi.org/10.1109/CLOUD.2018.00144
State	Published - 7 Sep 2018
Event	11th IEEE International Conference on Cloud Computing, CLOUD 2018 - San Francisco, United States Duration: 2 Jul 2018 → 7 Jul 2018

Publication series

Name	IEEE International Conference on Cloud Computing, CLOUD
Volume	2018-July
ISSN (Print)	2159-6182
ISSN (Electronic)	2159-6190

Conference

Conference	11th IEEE International Conference on Cloud Computing, CLOUD 2018
Country/Territory	United States
City	San Francisco
Period	2/07/18 → 7/07/18

Keywords

Autoscaling
Autoscaling performance
Cloud computing
Multilayered autoscaling

Access to Document

10.1109/CLOUD.2018.00144

Cite this

Podolskiy, V., Jindal, A., & Gerndt, M. (2018). IaaS Reactive Autoscaling Performance Challenges. In Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services (pp. 954-957). Article 8457912 (IEEE International Conference on Cloud Computing, CLOUD; Vol. 2018-July). IEEE Computer Society. https://doi.org/10.1109/CLOUD.2018.00144

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abstract = "The main feature of a cloud application is its scalability. Major IaaS cloud services providers (CSP) employ autoscaling on the level of virtual machines (VM). Other virtualization solutions (e.g. containers, pods) can also scale. An application scales in response to change in observed metrics, e.g. in CPU utilization. Occasionally, cloud applications exhibit the inability to meet the Quality of Service (QoS) requirements during the scaling caused by the reactivity of autoscaling solutions. This paper provides the results of the autoscaling performance evaluation for two-layered virtualization (VMs and Kubernetes pods) conducted in the public clouds of AWS, Microsoft and Google using the approach and the Autoscaling Performance Measurement Tool developed by the authors.",

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Podolskiy, V, Jindal, A & Gerndt, M 2018, IaaS Reactive Autoscaling Performance Challenges. in Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services., 8457912, IEEE International Conference on Cloud Computing, CLOUD, vol. 2018-July, IEEE Computer Society, pp. 954-957, 11th IEEE International Conference on Cloud Computing, CLOUD 2018, San Francisco, United States, 2/07/18. https://doi.org/10.1109/CLOUD.2018.00144

IaaS Reactive Autoscaling Performance Challenges. / Podolskiy, Vladimir; Jindal, Anshul; Gerndt, Michael.
Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services. IEEE Computer Society, 2018. p. 954-957 8457912 (IEEE International Conference on Cloud Computing, CLOUD; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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IaaS Reactive Autoscaling Performance Challenges

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