A content-based dynamic load-balancing algorithm for heterogeneous web server cluster

Author:

Zhang Lin1,Xiao-Ping Li2,Yuan Su2

Affiliation:

1. School of Electricity and Information Engineering, BUCEA, Beijing, China

2. Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

Abstract

According to the different requests of Web and the heterogeneity of Web server, the paper presents a content-based loadbalancing algorithm. The mechanism of this algorithm is that a corresponding request is allocated to the server with the lowest load according to the degree of effects on the server and a combination of load state of server. Besides, apply a method of random distributing base-probability to assign each request to an appropriate server in terms of their weight. All the parameters that will be used in the algorithm can be acquired by simulated test. Experimental results suggest that this algorithm can balance the load of web server clusters effectively, make full use of the existing source of software and hardware, highly improve the server's performance, and even make the best use of the web server.

Publisher

National Library of Serbia

Subject

General Computer Science

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and Implementation of a TCP Long Connection Load Balancing Algorithm Based on Negative Feedback Mechanism;Journal of Physics: Conference Series;2020-10-01

2. An Empirical Analysis on Load Balancing and Service Broker Techniques using Cloud Analyst Simulator;2020 International Conference on Innovative Trends in Communication and Computer Engineering (ITCE);2020-02

3. A Multi-Class Load Balancing Algorithm (MCLB) for Heterogeneous Web Cluster;Studies in Informatics and Control;2018-12-19

4. DServ-LB: Dynamic server load balancing algorithm;International Journal of Communication Systems;2018-10-29

5. Service Dependency Based Dynamic Load Balancing Algorithm for Container Clusters;2018 IEEE 15th International Conference on e-Business Engineering (ICEBE);2018-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3