Development Of Workflow Management Systems Research Articles

Development of a Workflow Management System for Higher Education: A case study of the Department of Mathematical and Computer Sciences, Fountain University, Osogbo.


 Abstract— The growing complexity of academic and administrative processes in educational institutions necessitates an efficient and streamlined approach to managing workflows effectively. The research work presents the development of a cutting-edge Workflow Management System (WMS) designed to cater to the needs of the Department of Mathematical and Computer Sciences. The WMS is built using Flutter, a popular cross-platform framework, and Firebase, a scalable and cloud-based backend service. These challenges underscore the importance of a tailored WMS that can centralize communication, automate tasks, and enhance productivity. This research project encompasses a systematic approach, beginning with requirements gathering through observation and prototyping, followed by the design and development phases. Agile development principles were employed to ensure flexibility and adaptability throughout the project life-cycle. The outcomes of the research work, including any improvements made based on user feedback. This research has significantly improved communication efficiency, task allocation, and time management. Users reported increased collaboration, reduced delays, and better organization of academic and administrative activities and the potential to improve the efficiency and accuracy of collaboration management within the department and enhance the user experience for both the collaboration department and the college community. The developed workflow Management System proved valuable for the department, addressing their needs and streamlining their workflows. The successful integration of Flutter and Firebase showcased the potential of modern technologies to revolutionize traditional processes in educational institutions.

Decentralized execution of linear workflows over web services

The development of workflow management systems (WfMSs) for the effective and efficient management of workflows in wide-area infrastructures has received a lot of attention in recent years. Existing WfMSs provide tools that simplify the workflow composition and enactment actions, while they support the execution of complex tasks on remote computational resources usually through calls to web services (WSs). Nowadays, an increasing number of WfMSs employ pipelining during the workflow execution. In this work, we focus on improving the performance of long-running workflows consisting of multiple pipelined calls to remote WSs when the execution takes place in a totally decentralized manner. The novelty of our algorithm lies in the fact that it considers the network heterogeneity, and although the optimization problem becomes more complex, it is capable of finding an optimal solution in a short time. Our proposal is evaluated through a real prototype deployed on PlanetLab, and the experimental results are particularly encouraging.

Property-Transition-Net-Based Workflow Process Modeling and Verification

The development of workflow management system requires satisfactory models and concepts. As mentioned in [W.M.P. van der Aalst and Arthur H.M.ter Hofstede, YAWL: Yet Another Workflow Language, QUT Technical report, FIT-TR-2002-06, Queensland University of Technology, Brisbane, 2002], classical Petri nets are not suitable to describe some advanced workflow patterns, thus this paper presents a Petri-net-based model characterized by places with new properties which are suitable to represent some advance workflow patterns. Many workflow models confuse the behaviors of workflow engine and external environment(tasks), and fail to describe the real semantics of workflow engine. In our model, through separating transitions from routings, the place will describe the behaviors of engine and the transition will describe the behavior of task. Because workflow engine is a reactive system, the token-game semantic behavior of a Petri net-based workflow model will differ from its behavior at run time. However, the semantics of property-transition-net-based model with ST firing rules is suitable enough to capture the behavior of workflow process. In this paper the formal definitions and semantics of this model are discussed in detail. This paper concludes with an introduction of a verification technique for structure-soundness detection based on some new reduction rules.

A Taxonomy of Workflow Management Systems for Grid Computing

With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such application scenarios require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. We also survey several representative Grid workflow systems developed by various projects world-wide to demonstrate the comprehensiveness of the taxonomy. The taxonomy not only highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research.

A taxonomy of scientific workflow systems for grid computing

With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such application scenarios require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. The taxonomy not only highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research.

BP plans world-scale PTA plant in Belgium

The development of workflow management systems (WfMSs) for the effective and efficient management of workflows in wide-area infrastructures has received a lot of attention in recent years. Existing WfMSs provide tools that simplify the workflow composition and enactment actions, while they support the execution of complex tasks on remote computational resources usually through calls to web services (WSs). Nowadays, an increasing number of WfMSs employ pipelining during the workflow execution. In this work, we focus on improving the performance of long-running workflows consisting of multiple pipelined calls to remote WSs when the execution takes place in a totally decentralized manner. The novelty of our algorithm lies in the fact that it considers the network heterogeneity, and although the optimization problem becomes more complex, it is capable of finding an optimal solution in a short time. Our proposal is evaluated through a real prototype deployed on PlanetLab, and the experimental results are particularly encouraging.