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• W2025894054 abstract "Advanced telecommunication applications are often based on a multi-tier architecture, with application servers and database servers. With a rapidly increasing development of cloud computing and data centers, characterizations of the dynamics for database servers during changing workloads will be a key factor for analysis and performance improvements in these applications. We propose a multi-step ahead response time predictor for database queries based on a nonlinear autoregressive neural network model with exogenous inputs. The estimator shows many promising characteristics which make it a viable candidate for being implemented in admission control products for database servers. Performance of the proposed predictor is evaluated through experiments on a lab setup with a MySQL-server." @default.
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• W2025894054 date "2011-11-01" @default.
• W2025894054 modified "2023-10-16" @default.
• W2025894054 title "NARX-based multi-step ahead response time prediction for database servers" @default.
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• W2025894054 doi "https://doi.org/10.1109/isda.2011.6121757" @default.
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