NARX-based multi-step ahead response time prediction for database servers
(2011) 11th International Conference on Intelligent Systems Design and Applications p.813-818- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2292235
- author
- Amani, Payam LU ; Kihl, Maria LU and Robertsson, Anders LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- pages
- 813 - 818
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 11th International Conference on Intelligent Systems Design and Applications
- conference location
- Cordoba, Spain
- conference dates
- 2011-11-22 - 2011-11-24
- external identifiers
-
- scopus:84857564268
- ISSN
- 2164-7143
- ISBN
- 978-1-4577-1676-8
- DOI
- 10.1109/ISDA.2011.6121757
- project
- LCCC
- language
- English
- LU publication?
- yes
- additional info
- key=amani_etal2011isda
- id
- ffc14c2f-ee61-436f-803b-f560465decf1 (old id 2292235)
- date added to LUP
- 2016-04-01 14:33:41
- date last changed
- 2024-01-25 02:28:09
@inproceedings{ffc14c2f-ee61-436f-803b-f560465decf1, 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.}}, author = {{Amani, Payam and Kihl, Maria and Robertsson, Anders}}, booktitle = {{[Host publication title missing]}}, isbn = {{978-1-4577-1676-8}}, issn = {{2164-7143}}, language = {{eng}}, pages = {{813--818}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{NARX-based multi-step ahead response time prediction for database servers}}, url = {{https://lup.lub.lu.se/search/files/4037824/2292237.pdf}}, doi = {{10.1109/ISDA.2011.6121757}}, year = {{2011}}, }