Affiliation:
1. School of Information Systems, Queensland University of Technology, Brisbane, Queensland, Australia
2. School of Data and Computer Science and School of Software, Sun Yat-sen University, Guangzhou, China
Abstract
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.
Funder
Research Foundation of Science and Technology Plan Project in Guangdong Province
Australian Research Council Discovery
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Management Information Systems
Cited by
1 articles.
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