Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

Dynamic Load Balancing Method Based on PBT Tree

Authors
Zhijie Lin, Chonghui Ren, Haifeng Huang, Xiaoyong Li
Corresponding Author
Zhijie Lin
Available Online December 2017.
DOI
10.2991/ecae-17.2018.63How to use a DOI?
Keywords
cluster; load balancing; sort-first; parallel computing
Abstract

With the development of computer technology and GPU technology, hardware and software technology has been greatly developed, but a single PC machine still cannot meet the real-time computing requirements of high-complexity scenes. In this paper, we propose a dynamic load balancing strategy based on PBT tree for the load balancing problem of Sort-first architecture cluster computing system. The dynamic load balancing strategy is dynamically adjusted in real time according to the change of computing scenarios, Balance caused by the system performance cannot be improved, make full use of system resources and improve the overall performance of the system.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
10.2991/ecae-17.2018.63
ISSN
2352-5401
DOI
10.2991/ecae-17.2018.63How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhijie Lin
AU  - Chonghui Ren
AU  - Haifeng Huang
AU  - Xiaoyong Li
PY  - 2017/12
DA  - 2017/12
TI  - Dynamic Load Balancing Method Based on PBT Tree
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 295
EP  - 299
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.63
DO  - 10.2991/ecae-17.2018.63
ID  - Lin2017/12
ER  -