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

Amani, Payam LU ; Kihl, Maria LU and Robertsson, Anders LU (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:
author
; and
organization
publishing date
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
2022-02-19 19:40:51
@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}},
}