Statistic-Based Dynamic Complexity Measurement for Web Service System

被引：0
|
作者：
Mao, Chengying [1 ]
机构：
[1] Jiangxi Univ Finance & Econ, Sch Software & Commun Engn, Nanchang 330013, Jiangxi, Peoples R China
来源：
INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS | 2016年 / 40卷 / 03期
基金：
中国国家自然科学基金;
关键词：
web services; QoS; variability; execution trace; entropy;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The existing research mainly concerns on the static complexity measurement for service-based system, but the dynamic features like execution behavior have been ignored. In this paper, we proposed a hierarchical measurement framework for evaluating the complexity of Web services from the dynamic aspect. At the level of single service, fluctuation rate is used to represent the QoS (Quality of Service) change during service invocation. Then, a cumulative distribution function is used to measure the dynamic complexity of service performance. At the system level, execution vectors and the corresponding probabilities can be counted according to the trace set of system dynamic executions. Subsequently, the complexity of dynamic execution behaviors can be calculated by the usage of entropy value. In addition, the rationality of above metrics has been validated by the studies on two real applications.
引用
收藏
页码：325 / 336
页数：12
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