Deadline-Aware Task Scheduling for IoT Applications in Collaborative Edge Computing

Seungkyun Lee, Su Kyoung Lee, Seung Seob Lee

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Collaborative edge computing (CEC) is a promising technology for supporting latency-sensitive Internet of Things (IoT) applications by distributing computation tasks among edge nodes. However, the edge resources are limited compared to the traditional cloud. Therefore, it is important to decide when and where to execute tasks from IoT applications to meet the latency requirements of the applications. In this study, we propose a task scheduling algorithm in the CEC environment, which considers the priority (i.e., deadline) of tasks and network flows with the aim of reducing the deadline miss ratio (DMR) of IoT applications. The simulation results demonstrate that the proposed algorithm can significantly reduce the DMR of other benchmark methods.

Original languageEnglish
Pages (from-to)2175-2179
Number of pages5
JournalIEEE Wireless Communications Letters
Volume10
Issue number10
DOIs
Publication statusPublished - 2021 Oct 1

Bibliographical note

Publisher Copyright:
© 2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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