RT Journal Article
T1 From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC
A1 Malandrino, Francesco
A1 Chiasserini, C. F.
A1 Avino, G.
A1 Malinverno, Marco
A1 Kirkpatrick, S.
AB All the content consumed by mobile users, be it a web pageor 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 envisionsperforming such processing within the cellular network, as opposed toresorting to a cloud server on the Internet. Designing a MEC network,i.e., placing and dimensioning the computational facilities therein, requiresinformation on how much computational power is required toproduce the contents needed by the users. However, real-world demandtraces only contain information on how much data is downloaded. In thispaper, we demonstrate how to enrich demand traces with informationabout the computational power needed to process the different types ofcontent, and we show the substantial benefit that can be obtained fromusing such enriched traces for the design of MEC-based networks.
SN 2332-7790
YR 2019
FD 2019-05-24
LK https://hdl.handle.net/10016/28411
UL https://hdl.handle.net/10016/28411
LA eng
NO This work is supported by the European Commission through the H2020projects 5G-TRANSFORMER (Project ID 761536) and 5G-EVE (Project ID815074).
DS e-Archivo
RD 5 jul. 2024