Design and Performance Analysis of Load Balancing Strategies for Cloud-Based Business Process Management Systems

2018 ◽  
pp. 390-406
Author(s):  
Michael Adams ◽  
Chun Ouyang ◽  
Arthur H. M. ter Hofstede ◽  
Yang Yu
Keyword(s):  
Performance Analysis ◽  
Load Balancing ◽  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Management Systems ◽  
And Performance

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.

scholarly journals Automação de Testes em Aplicações de BPMS: um Relato de Experiência

2015 ◽  
Author(s):  
Jéssica Lasch De Moura ◽  
Andrea Schwertner Charão
Keyword(s):  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Management Systems

Este artigo relata uma experiência de teste automatizado de uma aplicação desenvolvida com o apoio de sistemas de gestão de processos de negócio (Business Process Management Systems – BPMS). Para isso, implementou-se um mesmo processo usando dois diferentes BPMS: Bonita e Activiti. Submeteu-se as aplicações Web resultantes a testes de carga e testes funcionais, utilizando-se as ferramentas Apache JMeter, Selenium e Cucumber. Os resultados evidenciam a viabilidade e as limitações na automação de testes deste tipo de aplicação.

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