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	ARIMA model-based web services trustworthiness evaluation and prediction
	Li, Meng ; Hua, Zhebang ; Zhao, Junfeng ; Zou, Yanzhen ; Xie, Bing
	2012
英文摘要	As most Web services are delivered by third parties over unreliable Internet and are late bound at run-time, it is reasonable and useful to evaluate and predict the trustworthiness of Web services. In this paper, we propose an ARIMA model-based approach to evaluate and predictWeb services trustworthiness. First, we evaluateWeb services trustworthiness with comprehensive trustworthy evidences collected from the Internet on a regular basis. Then, the cumulative trustworthiness evaluation records are modeled as time series. Finally, we propose an ARIMA model-based multi-step Web services trustworthiness prediction process, which can automatically and iteratively identify and optimize the model to fit the trustworthiness series data. Experiments conducted on a large-scale real-world data set show that our method can effectively evaluate and predict the trustworthiness of Web services, which helps users to reuse Web services. ? Springer-Verlag Berlin Heidelberg 2012.; EI; 0
语种	英语
DOI标识	10.1007/978-3-642-34321-6-51
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294654]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Meng,Hua, Zhebang,Zhao, Junfeng,et al. ARIMA model-based web services trustworthiness evaluation and prediction. 2012-01-01.

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