Anomaly management using complex event processing: extending data base technology paper
Anomaly management using complex event processing: extending data base technology paper
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使用复杂事件处理的异常管理：扩展数据库技术论文
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
B. Seeger
中科院分区：
文献类型：
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作者：
Bastian Hoßbach;B. Seeger
在过去的十年中，复杂事件处理（CEP）已经成为许多时间关键型监控应用的技术基础。CEP功能强大、有效、易于使用，同时成本低廉。常见的CEP应用包括股票市场分析、信用卡欺诈检测、电网流量监控和用电预测等。许多应用领域仍然很难被CEP定位，因为最先进的CEP技术的特征在于静态行为和基于签名的检测范例。在本文中，我们通过使基础设施的行为动态化和将检测范式从签名切换到异常来激励CEP技术的实质性改进。这导致了基础设施的多种变化，提出了有趣和具有挑战性的研究问题。由此产生的动态CEP基础设施不仅使现有的应用程序更强大，更容易维护，而且还支持新的应用程序域。
During the last decade, complex event processing (CEP) has emerged as a technological foundation for many time-critical monitoring applications. CEP is powerful, effective, easy to use and low in costs at the same time. Common CEP applications are for example stock-market analysis, detection of fraudulent credit card use, traffic monitoring and consumption forecasting in power grids. Many application domains are still hard to target by CEP, because state of the art CEP technology is characterized by a static behavior and by a signature-based detection paradigm. In this paper, we motivate substantial improvements of CEP technology by making the behavior of the infrastructure dynamic and by switching the detection paradigm from signatures to anomalies. This leads to multiple changes in the infrastructure that raise interesting and challenging research questions. The resulting dynamic CEP infrastructure not only makes existing applications more powerful and easier to maintain but also enables novel application domains.