On Data-driven Network Performance Modeling for Mobile Cloud Computing

Karin Hummel, Rene Gabner, Hans-Peter Schwefel

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Abstract

Computationally intensive mobile apps may be migrated
to a cloud infrastructure for faster remote execution.
Decreased execution time and lower energy consumption at
the mobile device are the expected benefits when offloading
the application to the cloud. The migration decision can be
taken based on a continuous-time Markov model that considers
network quality, cloud and mobile device capabilities, as well as
migration costs, as we have shown in previous work. One of the
influencing dynamic characteristics is the network performance.
In this work, we focus on characterizing network performance
under node mobility in terms of throughput and latency. Our final
goal is to derive a mobile performance model that goes beyond
an on-off network model. The analysis is based on performance
measurements taken on a train while commuting. By clustering
the measurement data, we derive a realistic network model.
OriginalsprogEngelsk
TitelProceedings of 19th IEEE International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)
Antal sider5
UdgivelsesstedKalamata, Greece
ForlagIEEE
Publikationsdato25 jun. 2018
Artikelnummer8445844
ISBN (Trykt)978-1-5386-3513-1
ISBN (Elektronisk)978-1-5386-3512-4
DOI
StatusUdgivet - 25 jun. 2018
Begivenhed 19th IEEE International Workshop on Signal Processing Advances in Wireless Communication (SPAWC) - Kalamata, Grækenland
Varighed: 25 jun. 201828 jun. 2018

Konference

Konference 19th IEEE International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)
Land/OmrådeGrækenland
ByKalamata
Periode25/06/201828/06/2018

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