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, Master of science program in 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

Course of studies

Master of science program in 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

https://webthesis.biblio.polito.it/id/eprint/7462

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