Publication: From Megabits to CPU Ticks: Enriching a Demand Trace in the Age of MEC
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2019-05-24
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Abstract
All 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.
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Servers, Big data, Videos, Urban areas, Web pages, Edge computing, Cloud computing
Bibliographic citation
Malandrino, 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.