Towards mobile edge computing: taxonomy, challenges, applications and future realms

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dc.contributor.authorQadir, Junaid
dc.contributor.authorSainz de Abajo, Beatriz
dc.contributor.authorKhan, Anwar
dc.contributor.authorGarcía-Zapirain, Begoña
dc.contributor.authorTorre Díez, Isabel de la
dc.contributor.authorMahmood, Hasan
dc.date.accessioned2026-03-13T12:42:55Z
dc.date.available2026-03-13T12:42:55Z
dc.date.issued2020-09-25
dc.date.updated2026-03-13T12:42:55Z
dc.description.abstractThe realm of cloud computing has revolutionized access to cloud resources and their utilization and applications over the Internet. However, deploying cloud computing for delay critical applications and reducing the delay in access to the resources are challenging. The Mobile Edge Computing (MEC) paradigm is one of the effective solutions, which brings the cloud computing services to the proximity of the edge network and leverages the available resources. This paper presents a survey of the latest and state-of-The-Art algorithms, techniques, and concepts of MEC. The proposed work is unique in that the most novel algorithms are considered, which are not considered by the existing surveys. Moreover, the chosen novel literature of the existing researchers is classified in terms of performance metrics by describing the realms of promising performance and the regions where the margin of improvement exists for future investigation for the future researchers. This also eases the choice of a particular algorithm for a particular application. As compared to the existing surveys, the bibliometric overview is provided, which is further helpful for the researchers, engineers, and scientists for a thorough insight, application selection, and future consideration for improvement. In addition, applications related to the MEC platform are presented. Open research challenges, future directions, and lessons learned in area of the MEC are provided for further future investigation.en
dc.description.sponsorshipThis work was supported by the eVIDA Research Group, University of Deusto, Bilbao, Spain, under Grant IT 905-16en
dc.identifier.citationQadir, J., Sainz-De-Abajo, B., Khan, A., García-Zapirain, B., De La Torre-Díez, I., & Mahmood, H. (2020). Towards mobile edge computing: taxonomy, challenges, applications and future realms. IEEE Access, 8, 189129-189162. https://doi.org/10.1109/ACCESS.2020.3026938
dc.identifier.doi10.1109/ACCESS.2020.3026938
dc.identifier.eissn2169-3536
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5447
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subject.otherMobile edge computing
dc.subject.otherCloud servers
dc.subject.otherNetworks
dc.subject.otherEdge device
dc.subject.otherSmart cities
dc.subject.otherLatency
dc.subject.otherEnergy
dc.titleTowards mobile edge computing: taxonomy, challenges, applications and future realmsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage189162
oaire.citation.startPage189129
oaire.citation.titleIEEE Access
oaire.citation.volume8
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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