Toward Performance and Energy-Efficient Edge-of-Things

Adnan Akhunzada, Sherali Zeadally, Saif Ul Islam

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Edge computing is a recent trend wherein a (large) number of Internet of Things (IoT) devices are being connected to the cloud via edge devices. Although edge devices generally have (slightly) more computing power than IoT devices, several strategies can help to improve performance and reduce energy consumption. The key research challenge here is how to ensure efficient resource utilization, particularly for real-time delay-sensitive applications, such as military and battlefield contexts, and real-time disaster recovery and response efforts. Focusing on edge computing with a (large) number of IoT devices, we propose a dynamic policy-based computing approach to improve the overall performance of Edge-of-Things (EoT). We evaluated the energy consumption of heterogeneous edge-only resources for given policies to demonstrate their impact on an EoT computing infrastructure. Finally, we discussed open issues and future research directions in green EoT computing.

Original languageEnglish
Pages (from-to)17-23
Number of pages7
JournalIT Professional
Volume25
Issue number1
DOIs
StatePublished - Jan 1 2023

Bibliographical note

Publisher Copyright:
© 1999-2012 IEEE.

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Science Applications

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