QoE-aware auto-scaling of heterogeneous containerized services (and its application to health services)

Guilherme Santos; Hervé Paulino; Tomé Vardasca

doi:10.1145/3341105.3373915

QoE-aware auto-scaling of heterogeneous containerized services (and its application to health services)

Guilherme Santos, Hervé Paulino, Tomé Vardasca

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

Abstract

Containerized service is currently a widely adopted solution to deploy services in the cloud. However, many companies offer a very diverse set of Web accessible services that are subjected to very distinctive workloads. Consequently, to correctly provision the right amount of resources for each of these services is a challenge. In this paper we propose the Autonomic ConTainerized Service Scaler (ACTS), an autonomic system able to horizontally and vertically scale a set of heterogeneous containerized services subjected to different workloads. The adaptation decisions depended on a set of high-level Quality of Experience (QoE) metrics centered on the services' end-user. We have applied ACTS to some of the digital services of the Shared Services of the Ministry of Health (SPMS) public company. The experimental results show that our solution is able to adequately adapt the configuration of each service, as a direct response to alterations on its workload.

Original language	English
Title of host publication	35th Annual ACM Symposium on Applied Computing, SAC 2020
Publisher	Association for Computing Machinery
Pages	242-249
Number of pages	8
ISBN (Electronic)	9781450368667
DOIs	https://doi.org/10.1145/3341105.3373915
Publication status	Published - 30 Mar 2020
Event	35th Annual ACM Symposium on Applied Computing, SAC 2020 - Brno, Czech Republic Duration: 30 Mar 2020 → 3 Apr 2020

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing
Publisher	Association for Computing Machinery

Conference

Conference	35th Annual ACM Symposium on Applied Computing, SAC 2020
Country	Czech Republic
City	Brno
Period	30/03/20 → 3/04/20

Keywords

Auto-scaling
Containers
Health care
Quality of experience

Access to Document

10.1145/3341105.3373915

Link to publication in Scopus

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Cite this

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title = "QoE-aware auto-scaling of heterogeneous containerized services (and its application to health services)",

abstract = "Containerized service is currently a widely adopted solution to deploy services in the cloud. However, many companies offer a very diverse set of Web accessible services that are subjected to very distinctive workloads. Consequently, to correctly provision the right amount of resources for each of these services is a challenge. In this paper we propose the Autonomic ConTainerized Service Scaler (ACTS), an autonomic system able to horizontally and vertically scale a set of heterogeneous containerized services subjected to different workloads. The adaptation decisions depended on a set of high-level Quality of Experience (QoE) metrics centered on the services' end-user. We have applied ACTS to some of the digital services of the Shared Services of the Ministry of Health (SPMS) public company. The experimental results show that our solution is able to adequately adapt the configuration of each service, as a direct response to alterations on its workload.",

keywords = "Auto-scaling, Containers, Health care, Quality of experience",

author = "Guilherme Santos and Herv{\'e} Paulino and Tom{\'e} Vardasca",

note = "This work is supported by NOVA LINCS with the financial support of FCT-Funda{\c c}{\~a}o para a Ciencia e a Tecnologia, through national funds (UID/CEC/04516/2019).; 35th Annual ACM Symposium on Applied Computing, SAC 2020 ; Conference date: 30-03-2020 Through 03-04-2020",

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Santos, G, Paulino, H & Vardasca, T 2020, QoE-aware auto-scaling of heterogeneous containerized services (and its application to health services). in 35th Annual ACM Symposium on Applied Computing, SAC 2020. Proceedings of the ACM Symposium on Applied Computing, Association for Computing Machinery, pp. 242-249, 35th Annual ACM Symposium on Applied Computing, SAC 2020, Brno, Czech Republic, 30/03/20. https://doi.org/10.1145/3341105.3373915

QoE-aware auto-scaling of heterogeneous containerized services (and its application to health services). / Santos, Guilherme; Paulino, Hervé; Vardasca, Tomé.

35th Annual ACM Symposium on Applied Computing, SAC 2020. Association for Computing Machinery, 2020. p. 242-249 (Proceedings of the ACM Symposium on Applied Computing).

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

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