| Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
|---|---|---|
| Article Number | 03028 | |
| Number of page(s) | 5 | |
| Section | Session 3: Computer | |
| DOI | https://doi.org/10.1051/itmconf/20171203028 | |
| Published online | 05 September 2017 | |
Adaptive Load Balancing Strategy Based on LVS
1 roomF217, new main building, Beihang University, No.37, xueyuanroad, HaiDian District, BeiJing, China
2 roomG807, new main building, Beihang University, No.37, xueyuanroad, HaiDian District, BeiJing, China
* Corresponding author: fuchen319@163.com
** ljzhang@buaa.edu.cn
Linux Virtual Server (LVS) is a load balancing server that deployed on a cluster of real servers and the load balancer running on the Linux operating system. In the scheduling module, we designed an adaptive load balancing strategy. Firstly, we introduce the traffic state prediction. The algorithm we choose is Radial Basis Function (RBF) neural network. Secondly, we update weights according to the real-time usage of CPU, memory and hard disk. Then we conduct a series of experiments and the adaptive strategies have a better performance on load balancing.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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