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Unsupervised learning of dynamic resource provisioning policies for cloud-hosted multitier web applications

Autor
Iqbal, W.; Dailey, M.; Carrera, D.
Tipus d'activitat
Article en revista
Revista
IEEE systems journal
Data de publicació
2016-12
Volum
10
Número
4
Pàgina inicial
1435
Pàgina final
1446
DOI
https://doi.org/10.1109/JSYST.2015.2424998 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/document/7111215/ Obrir en finestra nova
Resum
Dynamic resource provisioning for Web applications allows for low operational costs while meeting service-level objectives (SLOs). However, the complexity of multitier Web applications makes it difficult to automatically provision resources for each tier without human supervision. In this paper, we introduce unsupervised machine learning methods to dynamically provision multitier Web applications, while observing user-defined performance goals. The proposed technique operates in real time and us...
Paraules clau
Cloud computing, Multi-tier applications, Resource management, Scalability, Service-level agreement (SLA), System performance
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants