eprintid: 17288
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/72/88
datestamp: 2023-12-19 03:23:42
lastmod: 2023-12-19 03:23:42
status_changed: 2023-12-19 03:07:48
type: conference_item
metadata_visibility: show
creators_name: Sharif, Z.
creators_name: Jung, L.T.
creators_name: Ayaz, M.
creators_name: Yahya, M.
creators_name: Pitafi, S.
title: A Taxonomy for Resource Management in Edge Computing, Applications and Future Realms
ispublished: pub
keywords: Internet of things; Mobile edge computing; Natural resources management; Resource allocation, Cloud computing; Cloud computing services; Cloud-computing; Computing applications; Computing paradigm; Distinctive taxonomy; Edge computing; Internet of thing; Mobile edge computing; Resource management, Taxonomies
note: cited By 4; Conference of 2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:185994
abstract: Mobile Edge computing (MEC) is a computing paradigm which extends the cloud computing services (i.e., storage and computation resources) at the edge of network or closer to the end devices/users to deal with the conventional limitations of a cloud (e.g., high latency) for latency-stringent applications. But it is constrained with computing resources, hence efficient resource management is of exigence in MEC. This article presents a distinctive taxonomy of resource management by considering the latest and state-of-the-art techniques and algorithms in the MEC. The preferred literature from the existing research works is classified for resource management in MEC in terms of resource type, objective, resource location, and resource usage. Moreover, applications related to the MEC platform are also elaborated. Further research challenges and potential future directions are explored for viable investigation and research. © 2022 IEEE.
date: 2022
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147023855&doi=10.1109%2fICDI57181.2022.10007397&partnerID=40&md5=94abfc99da27eaee31a6a8fcb1c54bad
id_number: 10.1109/ICDI57181.2022.10007397
full_text_status: none
publication: 2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 - Proceedings
pagerange: 46-52
refereed: TRUE
isbn: 9798350397000
citation:   Sharif, Z. and Jung, L.T. and Ayaz, M. and Yahya, M. and Pitafi, S.  (2022) A Taxonomy for Resource Management in Edge Computing, Applications and Future Realms.  In: UNSPECIFIED.