Analysis of network behavior characteristic and influence factor based on the peak traffic
Based on the burstiness of network traffic,the peak traffic metric was introduced,and the method which was used to evaluate network operation and plan capacity was proposed.The network intrinsic features and the peak traffic for the 21 CERNET campus networks were analyzed by statistical methodologie...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)10-0117-09/ |
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| _version_ | 1841539866292125696 |
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| author | Ai-ping ZHOU Guang CHENG |
| author_facet | Ai-ping ZHOU Guang CHENG |
| author_sort | Ai-ping ZHOU |
| collection | DOAJ |
| description | Based on the burstiness of network traffic,the peak traffic metric was introduced,and the method which was used to evaluate network operation and plan capacity was proposed.The network intrinsic features and the peak traffic for the 21 CERNET campus networks were analyzed by statistical methodologies(analysis of variance and analysis of covariance),so that the peak traffic is mutually independent and follows Gaussian distribution,the network intrinsic features have dominant impact on the peak traffic,and the number of network users is highly related to link bandwidth demand.On the basis,the linear regression model and capacity planning model were constructed.Experimental results illustrate that the proposed capacity planning model is used to evaluate the access bandwidth of new campus networks exactly. |
| format | Article |
| id | doaj-art-5017f2c64a7b4da48ad5827359a64a0f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-5017f2c64a7b4da48ad5827359a64a0f2025-01-14T06:33:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-10-013311712559665663Analysis of network behavior characteristic and influence factor based on the peak trafficAi-ping ZHOUGuang CHENGBased on the burstiness of network traffic,the peak traffic metric was introduced,and the method which was used to evaluate network operation and plan capacity was proposed.The network intrinsic features and the peak traffic for the 21 CERNET campus networks were analyzed by statistical methodologies(analysis of variance and analysis of covariance),so that the peak traffic is mutually independent and follows Gaussian distribution,the network intrinsic features have dominant impact on the peak traffic,and the number of network users is highly related to link bandwidth demand.On the basis,the linear regression model and capacity planning model were constructed.Experimental results illustrate that the proposed capacity planning model is used to evaluate the access bandwidth of new campus networks exactly.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)10-0117-09/peak trafficcapacity planningnetwork intrinsic featuresanalysis of varianceanalysis of covarianceaccess bandwidth |
| spellingShingle | Ai-ping ZHOU Guang CHENG Analysis of network behavior characteristic and influence factor based on the peak traffic Tongxin xuebao peak traffic capacity planning network intrinsic features analysis of variance analysis of covariance access bandwidth |
| title | Analysis of network behavior characteristic and influence factor based on the peak traffic |
| title_full | Analysis of network behavior characteristic and influence factor based on the peak traffic |
| title_fullStr | Analysis of network behavior characteristic and influence factor based on the peak traffic |
| title_full_unstemmed | Analysis of network behavior characteristic and influence factor based on the peak traffic |
| title_short | Analysis of network behavior characteristic and influence factor based on the peak traffic |
| title_sort | analysis of network behavior characteristic and influence factor based on the peak traffic |
| topic | peak traffic capacity planning network intrinsic features analysis of variance analysis of covariance access bandwidth |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)10-0117-09/ |
| work_keys_str_mv | AT aipingzhou analysisofnetworkbehaviorcharacteristicandinfluencefactorbasedonthepeaktraffic AT guangcheng analysisofnetworkbehaviorcharacteristicandinfluencefactorbasedonthepeaktraffic |