Bibliography | Mormul, Mathias; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: DEAR: Distributed Evaluation of Alerting Rules. In: IEEE 13th International Conference on Cloud Computing (CLOUD). University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. pp. 1-1, english. IEEE, December 2020. Article in Proceedings (Conference Paper).
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CR-Schema | H.0 (Information Systems General)
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Keywords | cloud monitoring; agent-based; alerting |
Abstract | 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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Contact | mathias.mormul@ipvs.uni-stuttgart.de |
Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
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Project(s) | IC4F
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Entry date | July 23, 2020 |
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