On the use of intelligent models towards meeting the challenges of the edge mesh

Oikonomou, P., Karanika, A., Anagnostopoulos, C. and Kolomvatsos, K. (2021) On the use of intelligent models towards meeting the challenges of the edge mesh. ACM Computing Surveys, 54(6), 125. (doi: 10.1145/3456630)

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Abstract

Nowadays, we are witnessing the advent of the Internet of Things (IoT) with numerous devices performing interactions between them or with their environment. The huge number of devices leads to huge volumes of data that demand the appropriate processing. The “legacy” approach is to rely on Cloud where increased computational resources can realize any desired processing. However, the need for supporting real-time applications requires a reduced latency in the provision of outcomes. Edge Computing (EC) comes as the “solver” of the latency problem. Various processing activities can be performed at EC nodes having direct connection with IoT devices. A number of challenges should be met before we conclude a fully automated ecosystem where nodes can cooperate or understand their status to efficiently serve applications. In this article, we perform a survey of the relevant research activities towards the vision of Edge Mesh (EM), i.e., a “cover” of intelligence upon the EC. We present the necessary hardware and discuss research outcomes in every aspect of EC/EM nodes functioning. We present technologies and theories adopted for data, tasks, and resource management while discussing how machine learning and optimization can be adopted in the domain.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos and Kolomvatsos, Dr Kostas
Authors: Oikonomou, P., Karanika, A., Anagnostopoulos, C., and Kolomvatsos, K.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:ACM Computing Surveys
Publisher:ACM
ISSN:0360-0300
ISSN (Online):1557-7341
Published Online:13 July 2021
Copyright Holders:Copyright © 2021 Association for Computer Machinery
First Published:First published in ACM Computing Surveys 54(6):125
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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