Load balancing method of service cluster based on mean-variance
When a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness functio...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-01-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017027/ |
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author | Xiaoan BAO Xue WEI Lei CHEN Guoheng HU Na ZHANG |
author_facet | Xiaoan BAO Xue WEI Lei CHEN Guoheng HU Na ZHANG |
author_sort | Xiaoan BAO |
collection | DOAJ |
description | When a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness function is designed to have an important influence on the load balancing efficiency.A service cluster load balancing method based on mean-variance was proposed to optimize the fitness function.The investment portfolio selection model mean-variance was used to minimize the response time,which was used to get the weight of each server's resource utilization,so as to obtain the optimal allocation combination.This method improves the accuracy and efficiency of the fitness function.Compared with other models in different service environment,the simulation results show that the load balancing algorithm makes the service cluster get a better balance performance in terms of node utilization and response time. |
format | Article |
id | doaj-art-fe5e7ae337d7402b88c00700b8156013 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2017-01-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-fe5e7ae337d7402b88c00700b81560132025-01-15T03:13:27ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-01-01331859603796Load balancing method of service cluster based on mean-varianceXiaoan BAOXue WEILei CHENGuoheng HUNa ZHANGWhen a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness function is designed to have an important influence on the load balancing efficiency.A service cluster load balancing method based on mean-variance was proposed to optimize the fitness function.The investment portfolio selection model mean-variance was used to minimize the response time,which was used to get the weight of each server's resource utilization,so as to obtain the optimal allocation combination.This method improves the accuracy and efficiency of the fitness function.Compared with other models in different service environment,the simulation results show that the load balancing algorithm makes the service cluster get a better balance performance in terms of node utilization and response time.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017027/load balancingmean-variance modelgenetic algorithmload scheduling |
spellingShingle | Xiaoan BAO Xue WEI Lei CHEN Guoheng HU Na ZHANG Load balancing method of service cluster based on mean-variance Dianxin kexue load balancing mean-variance model genetic algorithm load scheduling |
title | Load balancing method of service cluster based on mean-variance |
title_full | Load balancing method of service cluster based on mean-variance |
title_fullStr | Load balancing method of service cluster based on mean-variance |
title_full_unstemmed | Load balancing method of service cluster based on mean-variance |
title_short | Load balancing method of service cluster based on mean-variance |
title_sort | load balancing method of service cluster based on mean variance |
topic | load balancing mean-variance model genetic algorithm load scheduling |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017027/ |
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