A workflow engine server for the design of adaptive and scalable workflows

Andrzej Jasinski, Yuansong Qiao, John Keeney, Enda Fallon, Ronan Flynn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication30th Irish Signals and Systems Conference, ISSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728128009
ISBN (Print)9781728128009
DOIs
Publication statusPublished - Jun 2019
Event30th Irish Signals and Systems Conference, ISSC 2019 - Maynooth, Ireland
Duration: 17 Jun 201918 Jun 2019

Publication series

Name30th Irish Signals and Systems Conference, ISSC 2019

Conference

Conference30th Irish Signals and Systems Conference, ISSC 2019
Country/TerritoryIreland
CityMaynooth
Period17/06/1918/06/19

Keywords

  • Adaptive
  • Dynamic
  • Job-independent
  • Reusable
  • Workflow

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