Ensemble-based network edge processing

Ioan Petri, Ali Reza Zamani, Daniel Balouek-Thomert, Omer Rana, Yacine Rezgui, Manish Parashar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Estimating energy costs for an industrial process can be computationally intensive and time consuming, especially as it can involve data collection from different (distributed) monitoring sensors. Industrial processes have an implicit complexity involving the use of multiple appliances (devices/ sub-systems) attached to operation schedules, electrical capacity and optimisation setpoints which need to be determined for achieving operational cost objectives. Addressing the complexity associated with an industrial workflow (i.e. range and type of tasks) leads to increased requirements on the computing infrastructure. Such requirements can include achieving execution performance targets per processing unit within a particular size of infrastructure i.e. processing & data storage nodes to complete a computational analysis task within a specific deadline. The use of ensemble-based edge processing is identified to meet these Quality of Service targets, whereby edge nodes can be used to distribute the computational load across a distributed infrastructure. Rather than relying on a single edge node, we propose the combined use of an ensemble of such nodes to overcome processing, data privacy/ security and reliability constraints. We propose an ensemble-based network processing model to facilitate distributed execution of energy simulations tasks within an industrial process. A scenario based on energy profiling within a fisheries plant is used to illustrate the use of an edge ensemble. The suggested approach is however general in scope and can be used in other similar application domains.

Original languageEnglish (US)
Title of host publicationProceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018
EditorsJosef Spillner, Alan Sill
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages133-142
Number of pages10
ISBN (Electronic)9781538655047
DOIs
StatePublished - Jan 4 2019
Event11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018 - Zurich, Switzerland
Duration: Dec 17 2018Dec 20 2018

Publication series

NameProceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018

Conference

Conference11th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2018
CountrySwitzerland
CityZurich
Period12/17/1812/20/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

Keywords

  • Edge computing
  • Energy Efficiency
  • Industrial Processes
  • Internet of Things

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