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The Design of a Workflow Recommendation System for Workflow as a Service in the Cloud

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 171))

Abstract

A cloud workflow system is designed to provide WaaS (Workflow as a Service) which harnesses the power of cloud computing for efficient and cost-effective workflow execution. The current cloud workflow systems are mainly used by people who possess the knowledge about the business processes such as the process structures and functional/non-functional requirements because they need to create the executable workflow applications by themselves. However, most end-users do not acquire such kind of knowledge and thus limits the system usability and hinders the implementation of complete WaaS. To address this problem, this paper proposes the design of a novel online workflow recommendation system which can help end-users to create their own executable workflow applications by only providing some keywords to describe their requirements without the specific workflow modeling process. The system framework and its core components are illustrated in this paper. A detailed case study on an online ordering business workflow is demonstrated to successfully prove the feasibility of our system design.

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Notes

  1. 1.

    http://www.wisegeek.com/what-is-order-processing.htm

  2. 2.

    http://en.wikipedia.org/wiki/Order_processing

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Acknowledgement

The research work reported in this paper is partly supported by “Chunhui Plan” Cooperation and Research Project, Ministry of Education of China (No. Z2012114), Natural Science Foundation of China under No. 61021004, Natural Science Foundation of Gansu Province of China (No.1208RJZA278), the Fundamental Research Funds for the Central Universities (No.lzujbky-2013-40), and Shanghai Knowledge Service Platform Project under No. ZF1213.

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Correspondence to Xiao Liu .

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Wang, D., Liu, X., He, Z., Fan, X. (2014). The Design of a Workflow Recommendation System for Workflow as a Service in the Cloud. In: Lohmann, N., Song, M., Wohed, P. (eds) Business Process Management Workshops. BPM 2013. Lecture Notes in Business Information Processing, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-319-06257-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-06257-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06256-3

  • Online ISBN: 978-3-319-06257-0

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