基于事件的IaaS性能特征变化检测
Event-based Detection of Changes in IaaS Performance Signatures
摘要：
我们提出了一种新的ECA方法来管理IaaS性能签名的变化。所提出的方法依赖于在IaaS性能签名的上下文中检测异常性能行为。提出了一种新的基于异常的事件检测技术。它利用免费试用用户的经验来检测IaaS性能特征的潜在变化。提出了一种基于累积和控制图分析的特征变化检测技术。此外，一个自我调整的方法，以提高所提出的方法的准确性。一组基于真实世界数据集的实验表明，所提出的方法的有效性。
英文摘要：
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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