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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-09-01
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Series: | Dianxin kexue |
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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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