Special Issue on Emerging Computing Paradigms for Business Process Management
• 大类 : 工程技术 - 2区
• 小类 : 计算机：理论方法 - 2区
Business Process Management (BPM) has been referred to as a "holistic management" approach to aligning an organization's business processes with the needs of users. It promotes business effectiveness and efficiency while striving for innovation, flexibility, and integration with technology. However, the challenge for large-scale business process management is the complexity in addressing both the dynamic execution environment and the elastic requirement of users. Over the last decade, many new computing paradigms including cloud computing, mobile computing, mobile-cloud computing, and recent edge and fog computing have significantly impacted the IT industry, especially how organizations are running their business applications. These computing paradigms bring both challenges and opportunities for business process management.
The goal of this special issue is to promote the role of emerging computing paradigms such as Mobile-Cloud Computing, Edge and Fog Computing in business process management by discussing (1) what are the opportunities these new computing paradigm and related technologies can bring to BPM, including business and scientific workflows; and (2) what are the challenges to BPM and workflow systems that brought by these emerging computing paradigms. We are looking for high quality research works targeting challenging technical issues and also successful prototypes and case studies like Fog computing based BPM and workflow systems.
Topics of interest include, but are not limited to:
1. Emerging Computing Paradigms based BPM/workflow concepts and theory, e.g.
- Architecture of Fog/Edge/Mobile-Cloud based BPM
- Fog/Edge/Mobile-Cloud based BPM and Workflow as a Service
- Conceptual modelling and reasoning for business process
- Security, privacy and trust in Fog/Edge/Mobile-Cloud based BPM
- Other socio-technical aspects of BPM in the Fog/Edge/Mobile-Cloud
2. Emerging Computing Paradigms based BPM/workflow applications, e.g.
- Business and scientific workflows in the Fog/Edge/Mobile-Cloud
- Decision support systems for Fog/Edge/Mobile-Cloud based BPM
- Fog/Edge/Mobile-Cloud based BPM/workflow for e-Health systems
- People-/knowledge-intensive workflows
- Crowdsourcing and social networks based workflows
3. Emerging Computing Paradigms based BPM/workflow design, execution and analytics, e.g.
- Quality-of-Service constraints for workflow design and verification
- Load balancing and scheduling of Fog/Edge/Mobile-Cloud workflows
- Workflow data placement in Fog/Edge/Mobile-Cloud
- Big data analytics for Fog/Edge/Mobile-Cloud based BPM
- Fog/Edge/Mobile-Cloud/Context-based process mining