Reliable service computing platform architecture for cross-organizational workflows
Wenan Tan, Song Li, Quanquan Zhang, Senbo Chen, Anqiong Tang, Xiao-Min Hu · 2014
The extensive uses of Cloud Computing and Service-Oriented Architecture technologies have effectively prompted enterprises to implement cross-organizational workflow cooperative works. In the service-oriented large-scale distributed computing environment characterized by openness, dynamism and uncertainty, the reliable service computation for cross-organizational workflow applications is facing some new challenges. Based on the theory of enterprise ontology, we propose a reliable service computing platform architecture for cross-organizational workflow applications. In this paper, we discuss the system realization detail. First, we propose a semantic ontology model EOM (Enterprise Ontology Model) considering workflow's QoS and the trust evolvement of cross-organizational workflow services to support the reliable service modeling of cross-organizational business process. We also introduce the flexibility simulation algorithm and pre-treatment scheduling emergency mechanism. After discussing selection of trustworthy cooperative enterprises for cross-organizational workflows, we give a case application on process modeling for cross-organizational e-Learning services. The research is significant for modern enterprise management, cross-organizational workflow services and heterogeneous system integration.