A scalable load balancing strategy based on distributed server cluster

A distributed database load balancing algorithm based on software defined networking was proposed,which separated the data,control and application to calculate the actual load of a single server in the server cluster.By querying the streams sampling record,the minimum number of server paths were det...

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Main Authors: Qiao SUN, Buqiao DENG, Zhiqiang WANG, Xubin PEI
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-09-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017264/
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author Qiao SUN
Buqiao DENG
Zhiqiang WANG
Xubin PEI
author_facet Qiao SUN
Buqiao DENG
Zhiqiang WANG
Xubin PEI
author_sort Qiao SUN
collection DOAJ
description A distributed database load balancing algorithm based on software defined networking was proposed,which separated the data,control and application to calculate the actual load of a single server in the server cluster.By querying the streams sampling record,the minimum number of server paths were determined,the request response time was reduced,the system throughput and fault tolerance were improved,and the full use of the purpose of server resources was achieved.The general load balancing technology was compared with the load balancing technology based on the software defined networking in the internal network of the distributed database experiment,the result shows that in the load state of the different server clusters,the average response time of the latter is smaller than that of the former,and can get better load balancing effect.
format Article
id doaj-art-bfb0759339214e9ca6ada364f80aee40
institution Kabale University
issn 1000-0801
language zho
publishDate 2017-09-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-bfb0759339214e9ca6ada364f80aee402025-01-15T03:12:14ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-09-013319019659600417A scalable load balancing strategy based on distributed server clusterQiao SUNBuqiao DENGZhiqiang WANGXubin PEIA distributed database load balancing algorithm based on software defined networking was proposed,which separated the data,control and application to calculate the actual load of a single server in the server cluster.By querying the streams sampling record,the minimum number of server paths were determined,the request response time was reduced,the system throughput and fault tolerance were improved,and the full use of the purpose of server resources was achieved.The general load balancing technology was compared with the load balancing technology based on the software defined networking in the internal network of the distributed database experiment,the result shows that in the load state of the different server clusters,the average response time of the latter is smaller than that of the former,and can get better load balancing effect.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017264/extensible load balancing strategysoftware defined networkingadaptive stream samplingdistributed server cluster
spellingShingle Qiao SUN
Buqiao DENG
Zhiqiang WANG
Xubin PEI
A scalable load balancing strategy based on distributed server cluster
Dianxin kexue
extensible load balancing strategy
software defined networking
adaptive stream sampling
distributed server cluster
title A scalable load balancing strategy based on distributed server cluster
title_full A scalable load balancing strategy based on distributed server cluster
title_fullStr A scalable load balancing strategy based on distributed server cluster
title_full_unstemmed A scalable load balancing strategy based on distributed server cluster
title_short A scalable load balancing strategy based on distributed server cluster
title_sort scalable load balancing strategy based on distributed server cluster
topic extensible load balancing strategy
software defined networking
adaptive stream sampling
distributed server cluster
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017264/
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