Using context-awareness for storage services in edge computing

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dc.contributor.authorPérez-Torres, Rafael
dc.contributor.authorTorres-Huitzil, César
dc.contributor.authorTruong, Thuy
dc.contributor.authorBuckley, Donagh
dc.contributor.authorSreenan, Cormac J.
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2021-04-20T11:25:17Z
dc.date.available2021-04-20T11:25:17Z
dc.date.issued2021-03-31
dc.date.updated2021-04-20T11:16:52Z
dc.description.abstractModern mobile networks face a dynamic environment with massive devices and heterogeneous service expectations that will need to significantly scale for 5G. Edge computing approaches aim at enhancing scalability through strategies like computation offloading and local storage services, which will be fundamental to deploying large-scale distributed applications. Unlike the cloud, edge resources are limited, which call for novel techniques to handle large volumes of up- and downstream data under a changing environment. Being closer to data consumers and producers, a compelling view is to adopt context-aware techniques for enabling the edge to work with patterns from mobile traffic at different spatiotemporal scales. In this article, we overview the challenges and opportunities of edge storage from the perspective of context-awareness. We introduce a conceptual architecture to learn and exploit context information for enhancing uplink and downlink scenarios. Finally, we outline future directions for edge applications.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPérez-Torres, R., Torres-Huitzil, C., Truong, T., Buckley, D. and Sreenan, C. J. (2021) 'Using Context-Awareness for Storage Services in Edge Computing', IT Professional, 23(2), pp. 50-57. doi: 10.1109/MITP.2020.3043164en
dc.identifier.doi10.1109/MITP.2020.3043164en
dc.identifier.endpage57en
dc.identifier.issn1520-9202
dc.identifier.issued2en
dc.identifier.journaltitleIT Professionalen
dc.identifier.startpage50en
dc.identifier.urihttps://hdl.handle.net/10468/11213
dc.identifier.volume23en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers, IEEEen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.urihttps://ieeexplore.ieee.org/document/9391745
dc.rights© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksen
dc.subjectScalabilityen
dc.subjectComputer architectureen
dc.subjectDownlinken
dc.subjectSpatiotemporal phenomenaen
dc.subjectPlanningen
dc.subjectUplinken
dc.subjectEdge computingen
dc.titleUsing context-awareness for storage services in edge computingen
dc.typeArticle (peer-reviewed)en
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