Approach for topology partitioning in parallel network simulation
To improve the usability and running efficiency of the parallel network simulation,an approach for topology partitioning based on load estimation was realized: first,the relative load values of nodes and links,estimated according to their core levels in the topology map,were treated as their weights...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2006-01-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/74667589/ |
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author | WANG Xiao-feng FANG Bin-xing YUN Xiao-chun ZHANG Hong-li |
author_facet | WANG Xiao-feng FANG Bin-xing YUN Xiao-chun ZHANG Hong-li |
author_sort | WANG Xiao-feng |
collection | DOAJ |
description | To improve the usability and running efficiency of the parallel network simulation,an approach for topology partitioning based on load estimation was realized: first,the relative load values of nodes and links,estimated according to their core levels in the topology map,were treated as their weights;then,the simulation task was partitioned by the graph partitioning tool.Experiments showed that this partitioning method could improve the performance of simulation by 16.4% compared to the partitioning method with no weights.Simulation of worms based on the real topology gathered via network measurement proves that the partitioning method is suitable for real large-scale network topology and can be used to simulate large-scale network security incidents. |
format | Article |
id | doaj-art-0e9b8909af854fe2b052fdf6f75febfa |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2006-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-0e9b8909af854fe2b052fdf6f75febfa2025-01-14T08:39:44ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-01162174667589Approach for topology partitioning in parallel network simulationWANG Xiao-fengFANG Bin-xingYUN Xiao-chunZHANG Hong-liTo improve the usability and running efficiency of the parallel network simulation,an approach for topology partitioning based on load estimation was realized: first,the relative load values of nodes and links,estimated according to their core levels in the topology map,were treated as their weights;then,the simulation task was partitioned by the graph partitioning tool.Experiments showed that this partitioning method could improve the performance of simulation by 16.4% compared to the partitioning method with no weights.Simulation of worms based on the real topology gathered via network measurement proves that the partitioning method is suitable for real large-scale network topology and can be used to simulate large-scale network security incidents.http://www.joconline.com.cn/zh/article/74667589/network simulationtopology partitioningcore levelreal network topologysimulation of worms |
spellingShingle | WANG Xiao-feng FANG Bin-xing YUN Xiao-chun ZHANG Hong-li Approach for topology partitioning in parallel network simulation Tongxin xuebao network simulation topology partitioning core level real network topology simulation of worms |
title | Approach for topology partitioning in parallel network simulation |
title_full | Approach for topology partitioning in parallel network simulation |
title_fullStr | Approach for topology partitioning in parallel network simulation |
title_full_unstemmed | Approach for topology partitioning in parallel network simulation |
title_short | Approach for topology partitioning in parallel network simulation |
title_sort | approach for topology partitioning in parallel network simulation |
topic | network simulation topology partitioning core level real network topology simulation of worms |
url | http://www.joconline.com.cn/zh/article/74667589/ |
work_keys_str_mv | AT wangxiaofeng approachfortopologypartitioninginparallelnetworksimulation AT fangbinxing approachfortopologypartitioninginparallelnetworksimulation AT yunxiaochun approachfortopologypartitioninginparallelnetworksimulation AT zhanghongli approachfortopologypartitioninginparallelnetworksimulation |