Bibliograph. Daten | Mormul, Mathias; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: DEAR: Distributed Evaluation of Alerting Rules. In: IEEE 13th International Conference on Cloud Computing (CLOUD). Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik. S. 1-1, englisch. IEEE, Dezember 2020. Artikel in Tagungsband (Konferenz-Beitrag).
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CR-Klassif. | H.0 (Information Systems General)
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Keywords | cloud monitoring; agent-based; alerting |
Kurzfassung | Cloud computing passed the hype cycle long ago and firmly established itself as a future technology since then. However, to utilize the cloud as cost-efficiently as possible, a continuous monitoring is key to prevent an over- or undercommissioning of resources. In large-scaled scenarios, several challenges for cloud monitoring, such as high network traffic volume, low accuracy of monitoring data, and high time-toinsight, require new approaches in IT Operations while considering administrative complexity. To handle these challenges, we present DEAR, the Distributed Evaluation of Alerting Rules. DEAR is a plugin for monitoring systems which automatically distributes alerting rules to the monitored resources to solve the trade-off between high accuracy and low network traffic volume without administrative overhead. We evaluate our approach against requirements of today’s IT monitoring and compare it to conventional agent-based monitoring approaches.
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Kontakt | mathias.mormul@ipvs.uni-stuttgart.de |
Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
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Projekt(e) | IC4F
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Eingabedatum | 23. Juli 2020 |
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