Cache prefetching strategy based on selective Markov model
Through analyzing the existing streaming media cache management algorithm and user’s watching behavior characteristics,a new cache prefetching strategy based on selective Markov model was presented.The strategy,by mod-eling the user’s VCR action of choosing the merging sequence method,applied the FP...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2010-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74647969/ |
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| Summary: | Through analyzing the existing streaming media cache management algorithm and user’s watching behavior characteristics,a new cache prefetching strategy based on selective Markov model was presented.The strategy,by mod-eling the user’s VCR action of choosing the merging sequence method,applied the FP<sub>V</sub>like method to get the selective Markov model FPMM<sub>V</sub>like and built a streaming media proxy cache prefetching mechanism FP<sub>V</sub>like-LRU-2 by com-bining the replacement algorithm LRU-2.The experimental results show that,FP<sub>V</sub>like-LRU-2 is 10%、12%、17% higher than FP<sub>L</sub>RU-2,SP<sub>L</sub>RU-2 and LRU-2 respectively in reducing latency experienced by users,and this value is able to reach over 60% in the ideal situation. |
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| ISSN: | 1000-436X |