A novel reduction approach to analyzing QoS of workflow processes

  • Authors:
  • Yunni Xia;Qingsheng Zhu;Yu Huang;Zizhen Wang

  • Affiliations:
  • College of Computer Science of Chongqing University, Chongqing, 400044 China;College of Computer Science of Chongqing University, Chongqing, 400044 China;Key Laboratory of High Confidence Software Technologies (Peking University) under Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871 ...;Key Laboratory of High Confidence Software Technologies (Peking University) under Ministry of Education, School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871 ...

  • Venue:
  • Concurrency and Computation: Practice & Experience
  • Year:
  • 2009

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Abstract

Quality of service (QoS) of workflows and workflow-based applications is given increasing attention by both industry and academic. In this paper, we propose a novel analytical framework to analyze QoS (metrics include make-span, cost, and reliability) of workflow systems based on GWF-net, which extends traditional workflow net by associating tasks with generally distributed firing delay and time-to-failure. The GFW-net model is used to model process structure and task organization of workflows at the process level. In contrast with prevailing QoS models based on Markovian process, we introduce a reduction technique to evaluate QoS of GWF-net process avoiding the state-explosion problem and tedious mathematical derivation of state-transition probabilities. Through a case study, we show that our framework is capable of modeling real-world workflow-based application effectively. Also, experiments and confidence-interval analysis in the case study indicate that the reduction methods are verified by real results. We also compare our approach with related research in the text. Copyright © 2008 John Wiley & Sons, Ltd.