A Load Balancing Mechanism for Cluster Systems Based on Discrete Uniform Distribution

LI Hai-sheng; SHI Hong-yan

Chinese

您当前的位置：

首页 >

文章列表页 >

A Load Balancing Mechanism for Cluster Systems Based on Discrete Uniform Distribution

更新时间：2026-09-04

- A Load Balancing Mechanism for Cluster Systems Based on Discrete Uniform Distribution
- Vol. 28, Issue 3, Pages: 39-42(2011)
- 作者机构：
  
  北京工商大学机构计算机与信息工程学院,北京,100048
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
李海生, 史鸿雁. 基于离散型均匀分布的集群负载均衡机制[J]. 微电子学与计算机, 2011, 28(3): 39-42.

LI Hai-sheng, SHI Hong-yan. A Load Balancing Mechanism for Cluster Systems Based on Discrete Uniform Distribution[J]. 2011, 28(3): 39-42.
李海生, 史鸿雁. 基于离散型均匀分布的集群负载均衡机制[J]. 微电子学与计算机, 2011, 28(3): 39-42. DOI：

LI Hai-sheng, SHI Hong-yan. A Load Balancing Mechanism for Cluster Systems Based on Discrete Uniform Distribution[J]. 2011, 28(3): 39-42. DOI：

摘要

提出了一个动态自适应的加权负载均衡运算机制.它以离散型均匀分布的原理为基础

通过各服务器向均衡器发送不同速率的请求流来实现集群节点负载的动态负反馈.仿真测试结果显示该算法优于静态算法

与动态算法相比

也减轻了前端负载均衡器的负担.

Abstract

To reduce the possibility of balancer becomes performance bottleneck in cluster

a dynamic adaptive weighted load-balanced computing mechanism is presented in this paper. In this mechanism

each server sends the ask stream at different rates to balancer based on the principle of discrete uniform distribution to achieve the dynamic negative feedback on workload. Simulation test results show that the algorithm is better than static algorithm. Compared with the dynamic algorithm

it can also reduce the burden on load balancer.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Taxi Trajectory Data Analysis Method Based on Regional Density Division

Partitioning Cluster Based on the Critical Path of Multiple DAGs Scheduling

Aerial small object detection algorithm based on improved RT-DETR

Implementation and verification of a dual-chain power gating strategy for low power design

Microservices anomaly detection based on the correlation of monitoring metrics

Related Author

LI Jian-bin

CHEN Zhong-hui

SU Zhi-peng

REN Feng-Ling

YU Kai

CHEN Wei

YU Jiong

Related Institution

College of Physics and Information Engineering, Fuzhou University

School of Computer Science and Engineering, Xinjiang University of Finance and Economics

Campus of Zhangjiagang, Jiangsu University of Science and Technology, Zhangjiagang

School of Software, Xinjiang University

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰