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

被引:1
|
作者
Ouyang, Chun [1 ]
Adams, Michael [1 ]
Ter Hofstede, Arthur H. M. [1 ]
Yu, Yang [2 ,3 ]
机构
[1] Queensland Univ Technol, Sch Informat Syst, 2 George St, Brisbane, Qld 4000, Australia
[2] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou Higher Educ Mega Ctr, 132 Waihuan East Rd, Guangzhou 510006, Peoples R China
[3] Sun Yat Sen Univ, Sch Software, Guangzhou Higher Educ Mega Ctr, 132 Waihuan East Rd, Guangzhou 510006, Peoples R China
基金
澳大利亚研究理事会;
关键词
Business process management systems; software-as-a-service; scalability; business process engine; load balancing;
D O I
10.1145/3460123
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:26
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