<  Back to the Polytechnique Montréal portal

A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms

Kaijun Yang, Meng Li, Guchuan Zhu, Yvon Savaria

Article (2017)

Open Access document in PolyPublie
Open Access to the full text of this document
Accepted Version
Terms of Use: All rights reserved
Download (857kB)
Show abstract
Hide abstract


This paper addresses the load balancing problem, which is one of the key issues in high-performance computing (HPC) platforms. A novel method, called decentralized active queue management (DAQM), is proposed to provide a fair task distribution in a heterogeneous computing environment for HPC platforms. An implementation of the DAQM is presented, which consists of an ON-OFF queue control and a utility maximization-based coordination scheme. The stability of the queue control scheme and the convergence of the algorithm for utility maximization have been assessed by rigorous analysis. To demonstrate the performance of the developed queueing control system, numerical simulations are carried out and the obtained results confirm the efficiency and viability of the developed scheme.

Uncontrolled Keywords

Decentralized active queue management (DAQM),load balancing,high performance computing

Subjects: 2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
Department: Department of Electrical Engineering
Funders: CRSNG/NSERC, Huawei Technologies Canada Co., Ltd.
PolyPublie URL: https://publications.polymtl.ca/2842/
Journal Title: IEEE Access (vol. 5)
Publisher: IEEE
DOI: 10.1109/access.2017.2760251
Official URL: https://doi.org/10.1109/access.2017.2760251
Date Deposited: 21 Dec 2017 15:00
Last Modified: 18 Nov 2022 18:35
Cite in APA 7: Yang, K., Li, M., Zhu, G., & Savaria, Y. (2017). A DAQM-Based Load Balancing Scheme for High Performance Computing Platforms. IEEE Access, 5, 22504-22513. https://doi.org/10.1109/access.2017.2760251


Total downloads

Downloads per month in the last year

Origin of downloads


Repository Staff Only

View Item View Item