Title: Configurable workflow platform based on SaaS model

Authors: Zhenhua Wei; Zhifeng Liu; Jie Miao; Lihua Li; Wei Xu

Addresses: Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Jiangxi, 330013, China; School of Information Engineering, East China University of Technology, Nanchang, 330013, China ' School of Information Engineering, East China University of Technology, Nanchang, 330013, China ' School of Information Engineering, East China University of Technology, Nanchang, 330013, China ' School of Information Engineering, East China University of Technology, Nanchang, 330013, China ' School of Information Engineering, East China University of Technology, Nanchang, 330013, China

Abstract: With the continuous development and the in-depth integration of the internet and cloud computing technologies, software as a service (SaaS) model as a new type of commercial operation mode came into being. Taking the SaaS model and workflow combined as the breakthrough point, a scheme has been formed based on the Activiti web process designer and function configuration under the SaaS model. The scheme is designed mainly aiming at the platform function, process and logo configurations. The configuration scheme makes the tenants be able to customise the platform on-demand simply and quickly. The tenants can easily complete the process definition and modification with the web process designer, and greatly improve the work efficiency. The SaaS workflow platform is of the distinctive multi-tenant and configurable characteristics. Thus, the platform realised the multi-tenant on-demand service customisation and achieved the effect to build the information platform fast, conveniently and cheaply.

Keywords: SaaS model; workflow platform; configurable technology; process configuration; function configuration.

DOI: 10.1504/IJSN.2017.088114

International Journal of Security and Networks, 2017 Vol.12 No.4, pp.207 - 214

Received: 04 Feb 2017
Accepted: 05 Feb 2017
Published online: 24 Nov 2017 *

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