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From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorMalandrino, Francesco
dc.contributor.authorChiasserini, C. F.
dc.contributor.authorAvino, G.
dc.contributor.authorMalinverno, Marco
dc.contributor.authorKirkpatrick, S.
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2019-05-24T10:38:54Z
dc.date.available2019-05-24T10:38:54Z
dc.date.issued2019-05-24
dc.description.abstractAll the content consumed by mobile users, be it a web page or a live stream, undergoes some processing along the way; as an example, web pages and videos are transcoded to fit each device’s screen. The recent multi-access edge computing (MEC) paradigm envisions performing such processing within the cellular network, as opposed to resorting to a cloud server on the Internet. Designing a MEC network, i.e., placing and dimensioning the computational facilities therein, requires information on how much computational power is required to produce the contents needed by the users. However, real-world demand traces only contain information on how much data is downloaded. In this paper, we demonstrate how to enrich demand traces with information about the computational power needed to process the different types of content, and we show the substantial benefit that can be obtained from using such enriched traces for the design of MEC-based networks.en
dc.description.sponsorshipThis work is supported by the European Commission through the H2020 projects 5G-TRANSFORMER (Project ID 761536) and 5G-EVE (Project ID 815074).en
dc.format.extent9
dc.identifier.bibliographicCitationMalandrino, F., Chiasserini, C. F., Avino, G., Malinverno, M. y Kirkpatrick, S.(2018). From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC. IEEE Transactions on Big Data.en
dc.identifier.doi10.1109/TBDATA.2018.2867025
dc.identifier.issn2332-7790
dc.identifier.publicationtitleIEEE Transactions on Big Dataen
dc.identifier.urihttps://hdl.handle.net/10016/28411
dc.language.isoengen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/815074en
dc.rights© 2018 IEEE.
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherServersen
dc.subject.otherBig dataen
dc.subject.otherVideosen
dc.subject.otherUrban areasen
dc.subject.otherWeb pagesen
dc.subject.otherEdge computingen
dc.subject.otherCloud computingen
dc.titleFrom Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MECen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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