Reliable service computing platform architecture for cross-organizational workflows

• Published in: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) pp. 3066 - 3071
• Main Authors: Wenan Tan, Song Li, Quanquan Zhang, Senbo Chen, Anqiong Tang, Xiaomin Hu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2014
• Subjects: Analytical models; Computational modeling; Cooperative Computation; Cross-Organizational Workflow; Organizations; Reliability; Reliable Service Computing; Scheduling; Servers
• ISSN: 1062-922X; 2577-1655
• DOI: 10.1109/SMC.2014.6974398

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.