Towards Extensibility-Aware Scheduling of Industrial Applications on Fog Nodes

Mohammadreza Barzegaran, Vasileios Karagiannis, Cosmin Florin Avasalcai, Paul Pop, Stefan Schulte, Schahram Dustdar

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Fog computing has been identified as an enabler for many modern technologies like connected vehicles and the Industrial Internet of Things (IIoT). Such technologies are characterized by the integration of applications with different levels of criticality on shared platforms, which are referred to as mixed-criticality systems. Mixed-criticality systems typically use static scheduling for critical tasks; however, static scheduling is not suitable for scenarios where fog nodes run dynamic noncritical applications that implement, e.g., maintenance checks and data analytics. To address this challenge, in this paper, we differentiate between critical tasks that are statically allocated (called “native”) and dynamic non-critical tasks that may migrate across fog nodes (called “temporary”). We propose a static scheduling approach that maximizes the number of temporary tasks that can be added at runtime, without negatively impacting the already scheduled native tasks. This approach enables fog nodes to become more suitable for IIoT environments by configuring them with extensible schedules for the native tasks. To evaluate our approach, we perform experiments considering several test cases, which show that given a number of native tasks, the generated extensible schedules enable the fog nodes to run a larger number of temporary tasks at the same time. Furthermore, the extensible schedules exhibit 7.8 % less missed deadlines (on averaae), compared to the non-extensible schedules. To address this challenge, in this paper, we differentiate between critical tasks that are statically allocated (called “native”) and dynamic non-critical tasks that may migrate across fog nodes (called “temporary”). We propose a static scheduling approach that maximizes the number of temporary tasks that can be added at runtime, without negatively impacting the already scheduled native tasks. This approach enables fog nodes to become more suitable for IIoT environments by configuring them with extensible schedules for the native tasks. To evaluate our approach, we perform experiments considering several test cases, which show that given a number of native tasks, the generated extensible schedules enable the fog nodes to run a larger number of temporary tasks at the same time. Furthermore, the extensible schedules exhibit 7.8 % less missed deadlines (on averaae), compared to the non-extensible schedules.
Original languageEnglish
Title of host publicationProceedings of 2020 IEEE International Conference on Edge Computing
PublisherIEEE
Publication date2020
Pages67-75
ISBN (Print)9781728182544
DOIs
Publication statusPublished - 2020
Event4th IEEE International Conference on Fog and Edge Computing - Melbourne, Australia
Duration: 11 May 202014 May 2020

Conference

Conference4th IEEE International Conference on Fog and Edge Computing
CountryAustralia
CityMelbourne
Period11/05/202014/05/2020

Keywords

  • Fog computing
  • Mixed-criticality systems
  • Scheduling
  • Extensibility
  • Optimization

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