Challenging Anomaly Detection in Complex Dynamic Systems

Research Area: Uncategorized Year: 2016
Type of Publication: In Proceedings Keywords: anomaly detection; monitoring; multi-layer; distributed system; complex system;
Authors: Tommaso Zoppi; Andrea Ceccarelli; Andrea Bondavalli
Book title: Proceedings of 2016 IEEE 35th Symposium on Reliable Distributed Systems
Pages: 2
ISBN: 978-1-5090-3513-7
Software infrastructures are becoming more and more complex, making performance and dependability monitoring in wide and dynamic contexts such as Distributed Systems, Systems of Systems (SoS) and Cloud environments an unachievable goal. Consequently, it is very difficult to know how all the specific parts, services and modules of these systems behave. This negatively impacts our ability in detecting anomalies, because the boundaries between normal and anomalous behaviors are not always known. The paper describes the context and the targeted problem highlighting the research directions that the student will follow in the next years. In particular, after introducing the relevance of this work with respect to the academic and the industrial state of the art, we carefully define the problem and summarize the main challenges that arise according to such problem definition.

Resilient Computing Lab, 2011

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