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Issue title: Scientific Workflows
Article type: Research Article
Authors: Xia, Yunni | Wang, H.P. | Huang, Y. | Yuan, L.
Affiliations: School of Electronic Engineering and Computer Science, Peking University, Beijing, China, 100871
Note: [] Corresponding author. Tel.: +8610 62765818; E-mail: [email protected]
Abstract: Quality (QoS) prediction is one of the most important research topics of workflow. In this paper, we propose a stochastic model to evaluate QoS (make-span, reliability and cost) of workflow systems based on QWF-net, which extends traditional WF-net by associating tasks with firing-rate, failure-rate and cost-coefficient. Through a case study, we show that our framework is capable of modeling real-world workflow-based application. Also, Monte-carlo simulation in the case study indicates our analytical methods are consistent with simulation. We also present a sensitivity analysis technique to identify QoS bottleneck.The paper concludes with a comparison between our approach and related work.
Keywords: Workflow, QoS, homogeneous continuous-time markovian process, monte-carlo simulation, sensitivity analysis
Journal: Scientific Programming, vol. 14, no. 3-4, pp. 251-265, 2006
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