Detail výsledku

A Reality Check on Inference at Mobile Networks Edge

CARTAS, A.; KOCOUR, M.; RAMAN, A.; LEONTIADIS, I.; LUQUE, J.; SASTRY, N.; NUNEZ-MARTINEZ, L.; PERINO, D.; PERALES, C. A Reality Check on Inference at Mobile Networks Edge. In Proceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking (EDGESYS '19). Dressden: Association for Computing Machinery, 2019. p. 54-59. ISBN: 978-1-4503-6275-7.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
CARTAS, A.
Kocour Martin, Ing.
RAMAN, A.
LEONTIADIS, I.
Luque Jordi, FIT (FIT)
SASTRY, N.
NUNEZ-MARTINEZ, L.
PERINO, D.
PERALES, C.
Abstrakt

Edge computingis considered a key enabler to deploy ArtificialIntelligenceplatforms to provide real-time applications such asAR/VR or cognitive assistance. Previousworks show computingcapabilitiesdeployed very close to the user can actually reduce theend-to-end latency of such interactiveapplications. Nonetheless,themain performance bottleneck remains in the machine learninginference operation. In this paper, wequestion some assumptionsofthese works, as the network location where edge computing isdeployed, and considered softwarearchitectures within the frame-workof a couple of popular machine learning tasks. Our experimen-tal evaluation shows that after performancetuning that leveragesrecentadvances in deep learning algorithms and hardware, net-work latency is now the main bottleneck onend-to-end applicationperformance.We also report that deploying computing capabilitiesat the first network node still provideslatency reduction but, over-all,it is not required by all applications. Based on our findings, weoverview the requirements and sketch thedesign of an adaptivearchitecturefor general machine learning inference across edgelocations.

Klíčová slova

Edge computing, Artificial Intelligence

URL
Rok
2019
Strany
54–59
Sborník
Proceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking (EDGESYS '19)
Konference
The 2nd ACM International Workshop on Edge Systems, Analytics and Networking (EDGESYS 2019)
ISBN
978-1-4503-6275-7
Vydavatel
Association for Computing Machinery
Místo
Dressden
DOI
UT WoS
000470896200010
EID Scopus
BibTeX
@inproceedings{BUT156850,
  author="CARTAS, A. and KOCOUR, M. and RAMAN, A. and LEONTIADIS, I. and LUQUE, J. and SASTRY, N. and NUNEZ-MARTINEZ, L. and PERINO, D. and PERALES, C.",
  title="A Reality Check on Inference at Mobile Networks Edge",
  booktitle="Proceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking (EDGESYS '19)",
  year="2019",
  pages="54--59",
  publisher="Association for Computing Machinery",
  address="Dressden",
  doi="10.1145/3301418.3313946",
  isbn="978-1-4503-6275-7",
  url="https://dl.acm.org/citation.cfm?doid=3301418.3313946"
}
Soubory
Projekty
Zpracování, zobrazování a analýza multimediálních a 3D dat, VUT, Vnitřní projekty VUT, FIT-S-17-3984, zahájení: 2017-03-01, ukončení: 2020-02-29, ukončen
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