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KPI anomaly detection method for Data Center AIOps based on GRU-GAN

International Conference on Internet Computing for Science and Engineering, 2021
The system architecture and application services of the data center are becoming increasingly large. To ensure the stable operation of the systems and businesses carried by the data center, the operations engineer needs to collect and monitor the ...
Hang Su, Qian He, Biao Guo
semanticscholar   +1 more source

D5.5 Map of KPI - KPIs assessment framework

This report falls under the activities carried out in WP5, Task 5.2 (Definition of concepts and KPIs). The goal of WP5 is the development and validation of a multi-dimensional assessment model (MDAM) for identifying the most appropriate deep energy retrofitting solutions for heritage townhouses within a holistic assessment framework.
Lolli, Nicola   +2 more
openaire   +1 more source

Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection

IEEE Transactions on Network and Service Management, 2019
Key performance indicator (KPI) anomaly detection (AD) is critical to ensure service quality and reliability. Due to the effects of work days, off days, festivals, and business activities on user behavior, KPIs may exhibit different patterns within ...
Nengwen Zhao   +7 more
semanticscholar   +1 more source

New general interaction solutions to the KPI equation via an optional decoupling condition approach

Communications in nonlinear science & numerical simulation, 2021
Xing Lü, Sijia Chen
semanticscholar   +1 more source

Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

IEEE International Performance, Computing, and Communications Conference, 2018
To ensure undisrupted web-based services, operators need to closely monitor various KPIs (Key Performance Indicator, such as CPU usages, network throughput, page views, number of online users, and etc), detect anomalies in them, and trigger timely ...
Zeyan Li, Wenxiao Chen, Dan Pei
semanticscholar   +1 more source

Label-Less: A Semi-Automatic Labelling Tool for KPI Anomalies

IEEE Conference on Computer Communications, 2019
KPI (Key Performance Indicator) anomaly detection is critical for Internet-based services to ensure the quality and reliability. However, existing algorithms’ performance in reality is far from satisfying due to the lack of sufficient KPI anomaly data to
Nengwen Zhao   +5 more
semanticscholar   +1 more source

KPI 32

2018
Samenvatting ...
Zijlstra, Antine   +2 more
openaire   +1 more source

Output-Relevant Common Trend Analysis for KPI-Related Nonstationary Process Monitoring With Applications to Thermal Power Plants

IEEE Transactions on Industrial Informatics, 2021
Dehao Wu   +6 more
semanticscholar   +1 more source

Lump solutions and interaction solutions for (2 + 1)-dimensional KPI equation

Frontiers of Mathematics, 2021
Yanfeng Guo, Z. Dai, Chunxiao Guo
semanticscholar   +1 more source

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