Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

Dynamic Load-balance Scheduling Approach in Linux Based on Real-time Modifying LVS Weight

Authors
Yihua Liao, Min Lin
Corresponding Author
Yihua Liao
Available Online July 2017.
DOI
10.2991/icadme-17.2017.77How to use a DOI?
Keywords
Linux Virtual Server; Load Balance; Cluster; WLC
Abstract

Linux Virtual Server (LVS) cluster technology is widely applied at high-performance web service. In LVS, Weighted Least-Connection (WLC) scheduling algorithm is usually adopted due to its good effect. However, WLC scheduling algorithm can't always make real server (RS) run efficiently. In order to improve RS usage and make RS in health load, we proposed a dynamic load balance scheduling approach (DLSA) which dynamically modifies the weight of RS by the feedback information from RS. Experimental results show that DLSA can make full use of RS in LVS.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
10.2991/icadme-17.2017.77
ISSN
2352-5401
DOI
10.2991/icadme-17.2017.77How to use a DOI?
Copyright
© 2017, 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  - Yihua Liao
AU  - Min Lin
PY  - 2017/07
DA  - 2017/07
TI  - Dynamic Load-balance Scheduling Approach in Linux Based on Real-time Modifying LVS Weight
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 404
EP  - 411
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.77
DO  - 10.2991/icadme-17.2017.77
ID  - Liao2017/07
ER  -