论文标题
基于事件的IAAS性能签名变化的检测
Event-based Detection of Changes in IaaS Performance Signatures
论文作者
论文摘要
我们提出了一种新型的ECA方法来管理IaaS性能特征的变化。所提出的方法依赖于在IAAS性能签名的背景下检测异常性能行为。提出了一种新型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性能签名的潜在变化。使用累积总和控制图分析提出了签名更改检测技术。此外，引入了一种自调整方法，以提高所提出方法的准确性。进行了一组基于实际数据集的实验，以显示所提出的方法的有效性。
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.
