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

Author
Iqbal, W.; Dailey, M.; Carrera, D.
Type of activity
Journal article
Journal
IEEE systems journal
Date of publication
2016-12
Volume
10
Number
4
First page
1435
Last page
1446
DOI
https://doi.org/10.1109/JSYST.2015.2424998 Open in new window
URL
http://ieeexplore.ieee.org/document/7111215/ Open in new window
Abstract
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...
Keywords
Cloud computing, Multi-tier applications, Resource management, Scalability, Service-level agreement (SLA), System performance
Group of research
CAP - High Performace Computing Group

Participants