Flexible Workflow Engine With Load Balancing

Business processes have become an essential element in any organizational structure. Today's business processes have to deal with global competition, develop new products and must rapidly adapt to the change in the market demands. To address these requirements, businesses have incorporated a workflow management system that helps in automating the business tasks and increasing the overall efficiency. With this great advancement in workflows, comes a major challenge: the workflows hinder the change of workflow logic flexibly. This challenge faces difficulties in meeting demands from intensifying market competition. To solve the above issues, we have developed a flexible workflow engine using the directed graph theory concepts in this project. Using this approach, the changeable business processes can be modelled dynamically without the need for the redefinition of the model. Additionally, we have also introduced load balancing applications in the workflow model to balance the work equally among all tasks for ensuring non-skewed distribution of the work. This application provides sequential and parallel processing of tasks in the workflow. The tool also takes input in the form of text file which is in structured English format with annotations and this is converted into workflow engine automatically. We have also incorporated a feature in the workflow to predict the time taken to execute the workflow engine for a total number of users given and to predict the total number of users that can be executed in a given time.