Density-Based Data Selection and Management for Edge Computing

Hiroki Oikawa, Masaaki Kondo

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

Abstract

Wide spread of IoT devices has made it possible to acquire enormous amounts of realtime sensor information. Due to the explosive increase in the sensing data volume, it becomes difficult to collect and process all the data in one central place. On one hand, storing and processing data on edge devices, so called edge computing, is becoming important. On the other hand, edge devices usually have only limited computing and memory resources, and hence it is not practical to process and save all the acquired data. There is a great demand of effectively selecting data to process on an edge device or to transfer it to a cloud server. In this paper, we propose an efficient density-based data selection and management method called O-D2M by which edge devices store the data representing inherent data distribution. We use a low cost graph algorithm to analyze input data trend and its density. We evaluate effectiveness of the proposed O-D2M comparing to other methods in terms of the accuracy of machine learning models trained by the selected data. Throughout the evaluation, we confirm that O-D2M obtains higher accuracy and lower computation cost while it can reduce the amount of data to be processed or transferred by up to 20 points.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665404181
DOIs
Publication statusPublished - 2021 Mar 22
Externally publishedYes
Event19th IEEE International Conference on Pervasive Computing and Communications, PerCom 2021 - Virtual, Kassel, Germany
Duration: 2021 Mar 222021 Mar 26

Publication series

Name2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021

Conference

Conference19th IEEE International Conference on Pervasive Computing and Communications, PerCom 2021
Country/TerritoryGermany
CityVirtual, Kassel
Period21/3/2221/3/26

Keywords

  • edge computing, data management

ASJC Scopus subject areas

  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Instrumentation
  • Management of Technology and Innovation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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