Hurst weighted random early detection algorithm based on self-similar traffic input
RED as proposed by Floyd was based on the traditional Poisson input model,could not satisfy self-similar na-ture of network traffic.With this in view,an attempt has been made by proposing a modified RED algorithm,the HWRED algorithm with self-similar input.Modified RED algorithm can tune RED paramet...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74658512/ |
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| Summary: | RED as proposed by Floyd was based on the traditional Poisson input model,could not satisfy self-similar na-ture of network traffic.With this in view,an attempt has been made by proposing a modified RED algorithm,the HWRED algorithm with self-similar input.Modified RED algorithm can tune RED parameters according to the Hurst parameter of input traffic.Simulated results show modified algorithm increases evidently stability of queue size,and de-creases packet loss ratio,queue delay and queue delay variability,finally improves link use percentage of network. |
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| ISSN: | 1000-436X |