DECO: A Deadline-Aware and Energy-Efficient Algorithm for Task Offloading in Mobile Edge Computing

Sadoon Azizi, Majeed Othman, Hana Khamfroush

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

With the rapid development in the area of Internet of Things (IoT), the number of delay-sensitive and power-hungry IoT applications has drastically increased over the past few years. Mobile edge computing (MEC) has become an effective computing model for meeting the IoT applications' requirements. However, the resource-constrained nature of the IoT devices, different characteristics of IoT tasks such as delay sensitivity, and heterogeneity of the edge cloud servers (ECSs) make the task offloading problem a fundamental challenge in the MEC systems. Motivated by this, in this article, we propose a deadline-aware and energy-efficient computation offloading algorithm, DECO, for scheduling and processing the generated tasks from the IoT devices. The proposed algorithm jointly takes into account the deadline requirement of the tasks and the energy consumption of the IoT devices in the local decision-making process. Also, it considers the priority of the tasks and heterogeneity of ECSs for the task-node mapping process. The extensive simulation results confirm that the proposed algorithm improves the deadline satisfaction ratio of delay-sensitive tasks about 85.4% and reduces their average response time up to 62.9% compared to the state-of-the-art method while the amount of increase in the total energy consumption of IoT devices is less than 13.4%.

Original languageEnglish
Pages (from-to)952-963
Number of pages12
JournalIEEE Systems Journal
Volume17
Issue number1
DOIs
StatePublished - Mar 1 2023

Bibliographical note

Publisher Copyright:
© 2007-2012 IEEE.

Keywords

  • Deadline-aware
  • Internet of Things (IoT)
  • energy-efficient
  • mobile edge computing (MEC)
  • task offloading

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computer Science Applications

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