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基于自相似特性系统建模的算法改进
刘佳 ; 金德鹏 ; 曾烈光 ; LIU Jia ; JIN Depeng ; ZENG Lieguang
2010-06-09 ; 2010-06-09
关键词自相似 自回归 Taylor级数 Pollaczek-Khinchin self-similar autoregressive process of order one Taylor expansion Pollaczek-Khinchin TN915.01
其他题名The modification of system modeling algorithm based on self-similar characteristics
中文摘要针对现有基于自相似特性的系统建模算法复杂度高、可实现性差等问题,改进了线性自回归模型叠加生成自相似源的算法;利用业务的自相似特性,Taylor展开式,以及对Pollaczek-Khinchin第一变换式进行恒等变形等方法简化了系统建模模型,解决了服务时间母函数不解析,以及运算繁琐等问题。与原算法相比,改进算法大大降低了算法复杂度,增强了其可实现性。以以太网为例,对改进算法进行验证,结论与原算法一致,运算时间仅为原算法的1/14。; An autoregressive process of order one(AR1) accumulative algorithm was developed to generate a self-similar source to reduce algorithm complexity in self-similar system modeling.The self-similarity characteristics,a Taylor expansion,and an identity transform of the first Pollaczek-Khinchin equation are used to simplify the non-analytic generating function for the service time and the overall algorithm.The algorithm significantly reduces the arithmetic complexity and improves realization compared with the original network resource algorithm.The modified algorithm has been validated with an Ethernet test that gave the same results in 1/14 of the calculation of time.; 国家“八六三”高技术项目(2001AA121071)
语种中文 ; 中文
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/54503]  
专题清华大学
推荐引用方式
GB/T 7714
刘佳,金德鹏,曾烈光,等. 基于自相似特性系统建模的算法改进[J],2010, 2010.
APA 刘佳,金德鹏,曾烈光,LIU Jia,JIN Depeng,&ZENG Lieguang.(2010).基于自相似特性系统建模的算法改进..
MLA 刘佳,et al."基于自相似特性系统建模的算法改进".(2010).
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