NARX-based multi-step ahead response time prediction for database servers

Summary, in English

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.

• Author: Payam Amani; Maria Kihl; Anders Robertsson
• Department/s: Department of Electrical and Information Technology; Department of Automatic Control; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
• Publishing year: 2011
• Language: English
• Pages: 813-818
• Publication/Series: [Host publication title missing]
• Full text: - 349 kB; Download statistics
• Links: http://dx.doi.org/10.1109/ISDA.2011.6121757
• Document type: Conference paper
• Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Topic: Control Engineering; Electrical Engineering, Electronic Engineering, Information Engineering
• Conference name: 11th International Conference on Intelligent Systems Design and Applications
• Conference date: 2011-11-22 - 2011-11-24
• Conference place: Cordoba, Spain
• Status: Published
• Project: LCCC
• Research group: LCCC; Broadband Communication
• ISBN/ISSN/Other: ISSN: 2164-7143; ISBN: 978-1-4577-1676-8