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arXiv · 2007.11705

Event-based Detection of Changes in IaaS Performance Signatures

Sheik Mohammad Mostakim Fattah·Athman Bouguettaya
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Abstract

We propose a novel ECA approach to manage changes in IaaS performance signatures. The proposed approach relies on the detection of anomalous performance behavior in the context of IaaS performance signatures. A novel anomaly-based event detection technique is proposed. It utilizes the experience of free trial users to detect potential changes in IaaS performance signatures. A signature change detection technique is proposed using the cumulative sum control chart analysis. Additionally, a self-adjustment method is introduced to improve the accuracy of the proposed approach. A set of experiments based on real-world datasets are conducted to show the effectiveness of the proposed approach.

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Sheik Mohammad Mostakim Fattah, Athman Bouguettaya. 2020-07-22. Event-based Detection of Changes in IaaS Performance Signatures. https://arxiv.org/abs/2007.11705

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