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Resilience Analysis of Service Oriented Collaboration Process Management systems.

de Vrieze, P. T. and Xu, L., 2018. Resilience Analysis of Service Oriented Collaboration Process Management systems. Service oriented computing and applications, 12 (1), 25-39.

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10.1007%2Fs11761-018-0233-5.pdf - Published Version
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DOI: 10.1007/s11761-018-0233-5


Collaborative business process management allows for the automated coordination of processes involving human and computer actors. In modern economies it is increasingly needed for this coordination to be not only within organizations but also to cross organizational boundaries. The dependence on the performance of other organizations should however be limited, and the control over the own processes is required from a competitiveness perspective. The main objective of this work is to propose an evaluation model for measuring a resilience of a Service Oriented Architecture (SOA) collaborative process management system. In this paper, we have proposed resilience analysis perspectives of SOA collaborative process systems, i.e. overall system perspective, individual process model perspective, individual process instance perspective, service perspective, and resource perspective. A collaborative incident and maintenance notification process system is reviewed for illustrating our resilience analysis. This research contributes to extend SOA collaborative business process management systems with resilience support, not only looking at quantification and identification of resilience factors, but also considering ways of improving the resilience of SOA collaborative process systems through measures at design and run-time.

Item Type:Article
Uncontrolled Keywords:Collaborative business processes management; Resilience Resilience of SOA collaborative process systems; Service-oriented systems; Cloud-based SOA collaborative business process management
Group:Faculty of Science & Technology
ID Code:29621
Deposited By: Symplectic RT2
Deposited On:30 Aug 2017 15:34
Last Modified:14 Mar 2022 14:06


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