5G network slicing function migration mechanism based on particle swarm optimization algorithm
In multi-application scenarios of 5G,data traffic often increases dramatically.Virtual machine resources in network slicing may not meet the normal needs of users.In view of this,a network slicing function migration mechanism aiming at load balancing was proposed.The mechanism simulates the virtual...
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POSTS&TELECOM PRESS Co., LTD
2018-08-01
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Series: | 网络与信息安全学报 |
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Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018066 |
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author | Qiang CHEN Caixia LIU Lingshu LI |
author_facet | Qiang CHEN Caixia LIU Lingshu LI |
author_sort | Qiang CHEN |
collection | DOAJ |
description | In multi-application scenarios of 5G,data traffic often increases dramatically.Virtual machine resources in network slicing may not meet the normal needs of users.In view of this,a network slicing function migration mechanism aiming at load balancing was proposed.The mechanism simulates the virtual machine into particles based on particle swarm optimization algorithm.In the process of migration,all particles were divided into several subgroups,and particle swarm optimization algorithm was applied within and among groups.According to the historical optimal solution and the current global optimal solution,the particle location was updated,and the best target particles were determined by selecting the smaller particle size of the particle in real time.The mechanism not only improves the convergence speed,but also improves the accuracy of the algorithm.Compared with other migration methods,the results show that the proposed migration mechanism has the advantages of high accuracy and fast convergence.And it can also improve the efficiency of resource utilization,reduce the energy consumption of data center,and has better adaptability. |
format | Article |
id | doaj-art-ef7b4a61d3d345e288bbf45cd2d204ac |
institution | Kabale University |
issn | 2096-109X |
language | English |
publishDate | 2018-08-01 |
publisher | POSTS&TELECOM PRESS Co., LTD |
record_format | Article |
series | 网络与信息安全学报 |
spelling | doaj-art-ef7b4a61d3d345e288bbf45cd2d204ac2025-01-15T03:12:57ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-08-0144755595541015G network slicing function migration mechanism based on particle swarm optimization algorithmQiang CHENCaixia LIULingshu LIIn multi-application scenarios of 5G,data traffic often increases dramatically.Virtual machine resources in network slicing may not meet the normal needs of users.In view of this,a network slicing function migration mechanism aiming at load balancing was proposed.The mechanism simulates the virtual machine into particles based on particle swarm optimization algorithm.In the process of migration,all particles were divided into several subgroups,and particle swarm optimization algorithm was applied within and among groups.According to the historical optimal solution and the current global optimal solution,the particle location was updated,and the best target particles were determined by selecting the smaller particle size of the particle in real time.The mechanism not only improves the convergence speed,but also improves the accuracy of the algorithm.Compared with other migration methods,the results show that the proposed migration mechanism has the advantages of high accuracy and fast convergence.And it can also improve the efficiency of resource utilization,reduce the energy consumption of data center,and has better adaptability.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018066function migrationparticle swarm optimization algorithmnetwork slicing5G |
spellingShingle | Qiang CHEN Caixia LIU Lingshu LI 5G network slicing function migration mechanism based on particle swarm optimization algorithm 网络与信息安全学报 function migration particle swarm optimization algorithm network slicing 5G |
title | 5G network slicing function migration mechanism based on particle swarm optimization algorithm |
title_full | 5G network slicing function migration mechanism based on particle swarm optimization algorithm |
title_fullStr | 5G network slicing function migration mechanism based on particle swarm optimization algorithm |
title_full_unstemmed | 5G network slicing function migration mechanism based on particle swarm optimization algorithm |
title_short | 5G network slicing function migration mechanism based on particle swarm optimization algorithm |
title_sort | 5g network slicing function migration mechanism based on particle swarm optimization algorithm |
topic | function migration particle swarm optimization algorithm network slicing 5G |
url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018066 |
work_keys_str_mv | AT qiangchen 5gnetworkslicingfunctionmigrationmechanismbasedonparticleswarmoptimizationalgorithm AT caixialiu 5gnetworkslicingfunctionmigrationmechanismbasedonparticleswarmoptimizationalgorithm AT lingshuli 5gnetworkslicingfunctionmigrationmechanismbasedonparticleswarmoptimizationalgorithm |