We propose a novel framework to detect changes in the performance behavior of an IaaS service. The proposed framework leverages the concept of the IaaS signature to represent an IaaS service's long-term performance behavior. A new type of performance signature called categorical IaaS signature is introduced to represent the performance behavior more accurately. A novel performance noise model is proposed to accurately identify IaaS performance noise and accurate changes in the performance behavior of an IaaS service. A set of experiments based on real-world datasets is carried out to evaluate the effectiveness of the proposed framework.
@article{arxiv.2110.03229,
title = {IaaS Signature Change Detection with Performance Noise},
author = {Sheik Mohammad Mostakim Fattah and Athman Bouguettaya},
journal= {arXiv preprint arXiv:2110.03229},
year = {2021}
}
Comments
15 pages, accepted and to be published in 19th International Conference on Service Oriented Computing. arXiv admin note: text overlap with arXiv:2007.11705