@inproceedings{2f0ca8b60c8e46b8bc8d4ef3c2b22635,
title = "A workflow engine server for the design of adaptive and scalable workflows",
abstract = "Workflow generation is a widely used tool for business management. However, traditional solutions are primarily designed to generate a graphical representation of workflow elements rather than automate workflow generation. Additionally, current solutions require human input to generate a workflow that is designed to support a single task or job. These factors mean that current workflow generation tools are not flexible in terms of tasks supported, can't be easily scaled, and are not self-adaptive. This paper presents a proposal for a workflow engine server (WES) for workflow generation, which applies business workflow ideas to dataflow management. The WES architecture enables the automatic generation of workflows that are not restricted to a specific task or job. Initial evaluations of the proposed architecture demonstrate its potential for adaptive workflow generation, without the need for human intervention, for both small-scale and large-scale tasks.",
keywords = "Adaptive, Dynamic, Job-independent, Reusable, Workflow",
author = "Andrzej Jasinski and Yuansong Qiao and John Keeney and Enda Fallon and Ronan Flynn",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 30th Irish Signals and Systems Conference, ISSC 2019 ; Conference date: 17-06-2019 Through 18-06-2019",
year = "2019",
month = jun,
doi = "10.1109/ISSC.2019.8904919",
language = "English",
isbn = "9781728128009",
series = "30th Irish Signals and Systems Conference, ISSC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "30th Irish Signals and Systems Conference, ISSC 2019",
address = "United States",
}