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An Architecture for Task and Traffic Offloading in Edge Computing via Deep Learning

Alessandro Gaballo

An Architecture for Task and Traffic Offloading in Edge Computing via Deep Learning.

Rel. Guido Marchetto. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

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Abstract:

Architecture and protocol for task offloading in edge computing, using deep learning for path prediction to optimize application performance and network throughput.

Relators: Guido Marchetto
Academic year: 2017/18
Publication type: Electronic
Number of Pages: 70
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Ente in cotutela: EURECOM - Telecom Paris Tech (FRANCIA)
Aziende collaboratrici: Saint Louis University
URI: http://webthesis.biblio.polito.it/id/eprint/7462
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