Challenging Anomaly Detection in Complex Dynamic Systems
Research Area: | Uncategorized | Year: | 2016 | ||
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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 | ||||
BibTex: |
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Abstract: | 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. |
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