NDLI: Dataflow Weaknesses Analysis of Scientific Workflow Based on Fault Tree

Content Provider	IEEE Xplore Digital Library
Author	Xiaodong Fu Feng Wang Xiaoyan Liu Kaifan Ji Ping Zou
Copyright Year	2012
Abstract	If potential contributors leading to system failure can be identified when a scientific workflow is modeled, a lot of system weaknesses may thus be revealed and improved. In this paper, we first identify a number of data dependency patterns in scientific workflows and their corresponding state functions. Then, a method to transform the state functions into fault tree symbols is presented. We use fault tree analysis method to identify critical elements and elements combinations that lead to the incorrect state of a final output and calculate the probability of the incorrect state of a final output based on the probabilities of the basic events in the analyzed workflow. Moreover, an importance measure is designed to prioritize the contributors leading to the incorrect state of a final output. Finally, the feasibility and effectiveness of the proposed methods are proved by example and experiments.
Starting Page	227
Ending Page	230
File Size	550960
Page Count	4
File Format	PDF
ISBN	9781467323536
DOI	10.1109/TASE.2012.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Analytical models scientific workflow Boolean functions data dependency dataflow weakness analysis Probability Data models fault tree Mathematical model importance measure Fault trees
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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