TY - GEN
T1 - QoE-aware auto-scaling of heterogeneous containerized services (and its application to health services)
AU - Santos, Guilherme
AU - Paulino, Hervé
AU - Vardasca, Tomé
N1 - This work is supported by NOVA LINCS with the financial support of FCT-Fundação para a Ciencia e a Tecnologia, through national funds (UID/CEC/04516/2019).
PY - 2020/3/30
Y1 - 2020/3/30
N2 - 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.
AB - 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.
KW - Auto-scaling
KW - Containers
KW - Health care
KW - Quality of experience
UR - http://www.scopus.com/inward/record.url?scp=85083027500&partnerID=8YFLogxK
U2 - 10.1145/3341105.3373915
DO - 10.1145/3341105.3373915
M3 - Conference contribution
AN - SCOPUS:85083027500
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 242
EP - 249
BT - 35th Annual ACM Symposium on Applied Computing, SAC 2020
PB - Association for Computing Machinery
T2 - 35th Annual ACM Symposium on Applied Computing, SAC 2020
Y2 - 30 March 2020 through 3 April 2020
ER -