Hybrid optimal control for load balancing in a cluster of computer nodes

Brian Moerdyk; Ray DeCarlo; Douglas Birdwell; Miloš Žefran; John Chiasson

doi:10.1109/CCA.2006.286131

Hybrid optimal control for load balancing in a cluster of computer nodes

Brian Moerdyk
, Ray DeCarlo
, Douglas Birdwell
, Miloš Žefran
, John Chiasson

Electrical Engineering Department

Purdue University
University of Tennessee System
University of Illinois at Chicago

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper develops a hybrid optimal control technique and resulting experimental data using a previously reported deterministic dynamic nonlinear system model for load balancing in a cluster of computer nodes used for parallel computations in the presence of time delays and resource constraints. The model accounts for the trade-off between using processor resources to process tasks and transferring tasks to distribute the load evenly between the nodes to reduce overall processing time. The desired performance is achieved using hybrid optimal control techniques in a model predictive control context. Results demonstrate superior performance.

Original language	English
Title of host publication	Proceedings of the 2006 IEEE International Conference on Control Applications
Pages	1713-1718
Number of pages	6
DOIs	https://doi.org/10.1109/CCA.2006.286131
State	Published - 2007
Event	Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC) - Munich, Germany Duration: 4 Oct 2006 → 6 Oct 2006

Publication series

Name	Proceedings of the IEEE International Conference on Control Applications

Conference

Conference	Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC)
Country/Territory	Germany
City	Munich
Period	4/10/06 → 6/10/06

Access to Document

10.1109/CCA.2006.286131

Cite this

Moerdyk, B., DeCarlo, R., Birdwell, D., Žefran, M., & Chiasson, J. (2007). Hybrid optimal control for load balancing in a cluster of computer nodes. In Proceedings of the 2006 IEEE International Conference on Control Applications (pp. 1713-1718). Article 4067414 (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2006.286131

@inproceedings{dbb868abb7264cfe8a8e4251eaedf733,

title = "Hybrid optimal control for load balancing in a cluster of computer nodes",

abstract = "This paper develops a hybrid optimal control technique and resulting experimental data using a previously reported deterministic dynamic nonlinear system model for load balancing in a cluster of computer nodes used for parallel computations in the presence of time delays and resource constraints. The model accounts for the trade-off between using processor resources to process tasks and transferring tasks to distribute the load evenly between the nodes to reduce overall processing time. The desired performance is achieved using hybrid optimal control techniques in a model predictive control context. Results demonstrate superior performance.",

author = "Brian Moerdyk and Ray DeCarlo and Douglas Birdwell and Milo{\v s} {\v Z}efran and John Chiasson",

year = "2007",

doi = "10.1109/CCA.2006.286131",

language = "English",

isbn = "0780397959",

series = "Proceedings of the IEEE International Conference on Control Applications",

pages = "1713--1718",

booktitle = "Proceedings of the 2006 IEEE International Conference on Control Applications",

note = "Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC) ; Conference date: 04-10-2006 Through 06-10-2006",

}

Moerdyk, B, DeCarlo, R, Birdwell, D, Žefran, M & Chiasson, J 2007, Hybrid optimal control for load balancing in a cluster of computer nodes. in Proceedings of the 2006 IEEE International Conference on Control Applications., 4067414, Proceedings of the IEEE International Conference on Control Applications, pp. 1713-1718, Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC), Munich, Germany, 4/10/06. https://doi.org/10.1109/CCA.2006.286131

Hybrid optimal control for load balancing in a cluster of computer nodes. / Moerdyk, Brian; DeCarlo, Ray; Birdwell, Douglas et al.
Proceedings of the 2006 IEEE International Conference on Control Applications. 2007. p. 1713-1718 4067414 (Proceedings of the IEEE International Conference on Control Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hybrid optimal control for load balancing in a cluster of computer nodes

AU - Moerdyk, Brian

AU - DeCarlo, Ray

AU - Birdwell, Douglas

AU - Žefran, Miloš

AU - Chiasson, John

PY - 2007

Y1 - 2007

N2 - This paper develops a hybrid optimal control technique and resulting experimental data using a previously reported deterministic dynamic nonlinear system model for load balancing in a cluster of computer nodes used for parallel computations in the presence of time delays and resource constraints. The model accounts for the trade-off between using processor resources to process tasks and transferring tasks to distribute the load evenly between the nodes to reduce overall processing time. The desired performance is achieved using hybrid optimal control techniques in a model predictive control context. Results demonstrate superior performance.

AB - This paper develops a hybrid optimal control technique and resulting experimental data using a previously reported deterministic dynamic nonlinear system model for load balancing in a cluster of computer nodes used for parallel computations in the presence of time delays and resource constraints. The model accounts for the trade-off between using processor resources to process tasks and transferring tasks to distribute the load evenly between the nodes to reduce overall processing time. The desired performance is achieved using hybrid optimal control techniques in a model predictive control context. Results demonstrate superior performance.

UR - https://www.scopus.com/pages/publications/43049181449

U2 - 10.1109/CCA.2006.286131

DO - 10.1109/CCA.2006.286131

M3 - Conference contribution

AN - SCOPUS:43049181449

SN - 0780397959

SN - 9780780397958

T3 - Proceedings of the IEEE International Conference on Control Applications

SP - 1713

EP - 1718

BT - Proceedings of the 2006 IEEE International Conference on Control Applications

T2 - Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC)

Y2 - 4 October 2006 through 6 October 2006

ER -

Hybrid optimal control for load balancing in a cluster of computer nodes

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