Cloud systems are complex, large, and dynamic systems whose behavior must be continuously analyzed to timely detect misbehaviors and failures. Although there are solutions to flexibly monitor cloud systems, cost-effectively controlling the anomaly detection logic is still a challenge. In particular, cloud operators may need to quickly change the types of detected anomalies and the scope of anomaly detection, for instance based on observations. This kind of intervention still consists of a largely manual and inefficient ad-hoc effort. In this paper, we present Anomaly Detection as-A-Service (ADaaS), which uses the same as-A-service paradigm often exploited in cloud systems to declarative control the anomaly detection logic. Operators can use ADaaS to specify the set of indicators that must be analyzed and the types of anomalies that must be detected, without having to address any operational aspect. Early results with lightweight detectors show that the presented approach is a promising solution to deliver better control of the anomaly detection logic.

Mobilio, M., Orru, M., Riganelli, O., Tundo, A., Mariani, L. (2019). Anomaly detection as-A-service. In Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops, ISSREW 2019 (pp.193-199). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISSREW.2019.00071].

Anomaly detection as-A-service

Mobilio, M;Orru, M;Riganelli, O;Tundo, A;Mariani, L
2019

Abstract

Cloud systems are complex, large, and dynamic systems whose behavior must be continuously analyzed to timely detect misbehaviors and failures. Although there are solutions to flexibly monitor cloud systems, cost-effectively controlling the anomaly detection logic is still a challenge. In particular, cloud operators may need to quickly change the types of detected anomalies and the scope of anomaly detection, for instance based on observations. This kind of intervention still consists of a largely manual and inefficient ad-hoc effort. In this paper, we present Anomaly Detection as-A-Service (ADaaS), which uses the same as-A-service paradigm often exploited in cloud systems to declarative control the anomaly detection logic. Operators can use ADaaS to specify the set of indicators that must be analyzed and the types of anomalies that must be detected, without having to address any operational aspect. Early results with lightweight detectors show that the presented approach is a promising solution to deliver better control of the anomaly detection logic.
No
paper
Anomaly detection; Anomaly Detection as-A-service; Cloud computing; Monitoring;
English
30th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2019 OCT 28-31
978-1-7281-5138-0
Mobilio, M., Orru, M., Riganelli, O., Tundo, A., Mariani, L. (2019). Anomaly detection as-A-service. In Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops, ISSREW 2019 (pp.193-199). Institute of Electrical and Electronics Engineers Inc. [10.1109/ISSREW.2019.00071].
Mobilio, M; Orru, M; Riganelli, O; Tundo, A; Mariani, L
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/268063
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