An integration architecture for knowledge management systems and business process management systems

2007 ◽  
Vol 58 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Jisoo Jung ◽  
Injun Choi ◽  
Minseok Song
Keyword(s):  
Knowledge Management ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Integration Architecture

Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud

2021 ◽  
Vol 12 (4) ◽  
pp. 1-26
Author(s):  
Chun Ouyang ◽  
Michael Adams ◽  
Arthur H. M. Ter Hofstede ◽  
Yang Yu
Keyword(s):  
Load Balancing ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Management Systems ◽  
User Demand ◽  
Process Engine ◽  
Automated Support ◽  
Dynamic Execution

Business Process Management Systems ( BPMSs ) provide automated support for the execution of business processes in modern organisations. With the emergence of cloud computing, BPMS deployment considerations are shifting from traditional on-premise models to the Software-as-a-Service ( SaaS ) paradigm, aiming at delivering Business Process Automation as a Service. However, scaling up a traditional BPMS to cope with simultaneous demand from multiple organisations in the cloud is challenging, since its underlying system architecture has been designed to serve a single organisation with a single process engine. Moreover, the complexity in addressing both the dynamic execution environment and the elasticity requirements of users impose further challenges to deploying a traditional BPMS in the cloud. A typical SaaS often deploys multiple instances of its core applications and distributes workload to these application instances via load balancing. But, for stateful and often long-running process instances, standard stateless load balancing strategies are inadequate. In this article, we propose a conceptual design of BPMS capable of addressing dynamically varying demands of end users in the cloud, and present a prototypical implementation using an open source traditional BPMS platform. Both the design and system realisation offer focused strategies on achieving scalability and demonstrates the system capabilities for supporting both upscaling, to address large volumes of user demand or workload, and downscaling, to release underutilised computing resources, in a cloud environment.

Knowledge Management

2011 ◽  
pp. 130-143
Author(s):  
Petter Gottschalk
Keyword(s):  
Knowledge Management ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Value Added ◽  
Capital Management ◽  
Knowledge Based ◽  
Cost Cutting ◽  
Intellectual Capital Management ◽  
Quality Value

In an outsourcing relationship, the vendor and its clients need to transfer knowledge on a continuous basis. Relevant approaches to outsourcing relationships from the knowledge management literature include intellectual capital management and business process management, as presented in this chapter. According to Quinn (1999), executives increasingly understand that outsourcing for short-term cost cutting does not yield nearly as much as outsourcing for longer-term knowledge-based system or strategic benefits such as greater intellectual depth and access, opportunity scanning, innovation, reliability, quality, value-added solutions, or worldwide outreach.

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