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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Main Authors: Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2017-01-01
Series:Dianxin kexue
Subjects:
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.
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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/
work_keys_str_mv AT xiaoanbao loadbalancingmethodofserviceclusterbasedonmeanvariance
AT xuewei loadbalancingmethodofserviceclusterbasedonmeanvariance
AT leichen loadbalancingmethodofserviceclusterbasedonmeanvariance
AT guohenghu loadbalancingmethodofserviceclusterbasedonmeanvariance
AT nazhang loadbalancingmethodofserviceclusterbasedonmeanvariance