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 under-commissioning 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-to-insight, 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.
%0 Conference Paper
%1 cloud_20_dear
%A Mormul, Mathias
%A Hirmer, Pascal
%A Stach, Christoph
%A Mitschang, Bernhard
%B Proceedings of the IEEE 13th International Conference on Cloud Computing
%C Beijing
%D 2020
%E Khan, Latifur
%E Huang, Gang
%I IEEE
%K agent-based alerting cloud_monitoring
%P 158--165
%R 10.1109/CLOUD49709.2020.00034
%T DEAR: Distributed Evaluation of Alerting Rules
%X 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 under-commissioning 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-to-insight, 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.
%@ 978-1-7281-8780-8
@inproceedings{cloud_20_dear,
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 under-commissioning 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-to-insight, require new approaches in IT Operations while considering administrative complexity. To handle these challenges, we present \emph{DEAR}, the \textbf{D}istributed \textbf{E}valuation of \textbf{A}lerting \textbf{R}ules. 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.},
added-at = {2021-02-01T19:32:47.000+0100},
address = {Beijing},
author = {Mormul, Mathias and Hirmer, Pascal and Stach, Christoph and Mitschang, Bernhard},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/25eb2ccc2a0e9e82fe776cd4c76ef25be/christophstach},
booktitle = {Proceedings of the IEEE 13\textsuperscript{th} International Conference on Cloud Computing},
doi = {10.1109/CLOUD49709.2020.00034},
editor = {Khan, Latifur and Huang, Gang},
interhash = {a5c0786b3763f473b4cdf1b50e57b30a},
intrahash = {5eb2ccc2a0e9e82fe776cd4c76ef25be},
isbn = {978-1-7281-8780-8},
keywords = {agent-based alerting cloud_monitoring},
month = oct,
pages = {158--165},
publisher = {IEEE},
series = {CLOUD '20},
timestamp = {2021-02-01T18:32:55.000+0100},
title = {{DEAR}: {D}istributed {E}valuation of {A}lerting {R}ules},
year = 2020
}
