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Effective Prediction of Job Processing Times in a Large-Scale Grid Environment
Paris June 19-June 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HPDC.2006.16521832006 15th IEEE International Conferen ...
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M. Dobber, R. van der Mei, G. Koole, "Effective Prediction of Job Processing Times in a Large-Scale Grid Environment," High-Performance Distributed Computing, International Symposium on, pp. 359-360, 2006 15th IEEE International Conference on High Performance Distributed Computing, 2006.
 
 
BibTex
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@article{ 10.1109/HPDC.2006.1652183,
author = {M. Dobber and R. van der Mei and G. Koole},
title = {Effective Prediction of Job Processing Times in a Large-Scale Grid Environment},
journal ={High-Performance Distributed Computing, International Symposium on},
volume = {0},
year = {2006},
isbn = {1-4244-0307-3},
pages = {359-360},
doi = {http://doi.ieeecomputersociety.org/10.1109/HPDC.2006.1652183},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - High-Performance Distributed Computing, International Symposium on
TI - Effective Prediction of Job Processing Times in a Large-Scale Grid Environment
SN - 1-4244-0307-3
SP359
EP360
A1 - M. Dobber,
A1 - R. van der Mei,
A1 - G. Koole,
PY - 2006
KW - dynamic exponential smoothing method
KW - job processing times
KW - grid environment
VL - 0
JA - High-Performance Distributed Computing, International Symposium on
ER -
 
M. Dobber, Vrije Univ., Amsterdam
R. van der Mei, Vrije Univ., Amsterdam
G. Koole, Vrije Univ., Amsterdam
Grid applications that use a considerable number of processors for their computations need effective predictions of the expected computation times on the different nodes. Currently, there are no effective prediction methods available that satisfactorily cope with those ever-changing dynamics of computation times in a grid environment. Motivated by this, in this paper we develop the dynamic exponential smoothing (DES) method to predict job processing times in a grid environment. To compare predictions of DES to those of the existing prediction methods, we have performed extensive experiments in a real large-scale grid environment. The results illustrate a strong and consistent improvement of DES in comparison with the existing prediction methods
Index Terms:
dynamic exponential smoothing method, job processing times, grid environment
Citation:
M. Dobber, R. van der Mei, G. Koole, "Effective Prediction of Job Processing Times in a Large-Scale Grid Environment," hpdc, pp.359-360, 2006 15th IEEE International Conference on High Performance Distributed Computing, 2006
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