Time Analysis for Probabilistic Workflows

摘要：

There are many theoretical and practical results in the area of workflow modeling, especially when the more formal workflows are used. In this paper we focus on probabilistic workflows. We show algorithms for time computations in probabilistic workflows. With time of activities more precisely modeled, we can achieve improvement in the work cooperation and analyses of cooperation including simulation and visualization.

关键词： Knowledge Processing Workflows Workflows Mining Probabilistic Modeling

作者: Bogdan Denny Czejdo Erik Ferragut

作者单位: Department of Mathematics and Computer Science Fayetteville State University Fayetteville, NC 28301, CSIIR Group, CSE Division Oak Ridge National Laboratory Oak Ridge, USA

会议类型: 国际会议

会议名称: 2012 International Conference on Future Communication and Computer Technology(2012未来通信与计算机技术国际会议ICFCCT 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 62-66

在线出版日期: 2012-05-19（万方平台首次上网日期，不代表论文的发表时间）