FogWorkflowSim: an automated simulation toolkit for workflow performance evaluation in fog computing

Xiao Liu, Lingmin Fan, Jia Xu, Xuejun Li, Lina Gong, John Grundy, Yun Yang

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

Abstract

Workflow underlies most process automation software, such as those for product lines, business processes, and scientific computing. However, current Cloud Computing based workflow systems cannot support real-time applications due to network latency, which limits their application in many IoT systems such as smart healthcare and smart traffic. Fog Computing extends the Cloud by providing virtualized computing resources close to the End Devices so that the response time of accessing computing resources can be reduced significantly. However, how to most effectively manage heterogeneous resources and different computing tasks in the Fog is a big challenge. In this paper, we introduce 'FogWorkflowSim' an efficient and extensible toolkit for automatically evaluating resource and task management strategies in Fog Computing with simulated user-defined workflow applications. Specifically, FogWorkflowSim is able to: 1) automatically set up a simulated Fog Computing environment for workflow applications; 2) automatically execute user submitted workflow applications; 3) automatically evaluate and compare the performance of different computation offloading and task scheduling strategies with three basic performance metrics, including time, energy and cost. FogWorkflowSim can serve as an effective experimental platform for researchers in Fog based workflow systems as well as practitioners interested in adopting Fog Computing and workflow systems for their new software projects. (Demo video: https://youtu.be/AsMovcuSkx8)

Original languageEnglish
Title of host publicationProceedings - 2019 34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019
EditorsJulia Lawall, Darko Marinov
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1114-1117
Number of pages4
ISBN (Electronic)9781728125084
ISBN (Print)9781728125091
DOIs
Publication statusPublished - 2019
EventAutomated Software Engineering 2019 - San Diego, United States of America
Duration: 10 Nov 201915 Nov 2019
Conference number: 34th
https://2019.ase-conferences.org/

Conference

ConferenceAutomated Software Engineering 2019
Abbreviated titleASE 2019
CountryUnited States of America
CitySan Diego
Period10/11/1915/11/19
Internet address

Keywords

  • Fog Computing
  • Performance Evaluation
  • Simulation Toolkit
  • Task Scheduling
  • Workflow

Cite this

Liu, X., Fan, L., Xu, J., Li, X., Gong, L., Grundy, J., & Yang, Y. (2019). FogWorkflowSim: an automated simulation toolkit for workflow performance evaluation in fog computing. In J. Lawall, & D. Marinov (Eds.), Proceedings - 2019 34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019 (pp. 1114-1117). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ASE.2019.00115