ZHANG Xiao-meng and LIU Yun. Improvement of multimedia network application based on dynamic prediction algorithm[J]. Journal of Light Industry, 2011, 26(5): 41-44. doi: 10.3969/j.issn.1004-1478.2011.05.011
Citation:
ZHANG Xiao-meng and LIU Yun. Improvement of multimedia network application based on dynamic prediction algorithm[J]. Journal of Light Industry, 2011, 26(5): 41-44.
doi:
10.3969/j.issn.1004-1478.2011.05.011
Improvement of multimedia network application based on dynamic prediction algorithm
-
Received Date:
2011-03-16
Available Online:
2011-09-15
-
Abstract
A new QoS mechanism of multimedia network application was proposed.Under the given bandwidth resource,the new mechanism can support more multimedia network application users at the expense of multimedia network application quality.The core algorithm EEWMA (evolution to exponential weighted moving average) evolved from algorithm EWMA (exponential weighted moving average),and the EEWMA is a network status prediction algorithm.An appropriate prediction result for special network environment and demands,balanced between prediction precision and resource consumption,can be got by EEWMA.EEWMA can get a good prediction result to any time interval in the time range of most valid network applications connection,proved by the experiment adopting a standard database.
-
-
References
-
Proportional views
-
-