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An Empirical Study of GraphQL Schemas Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications

Authors : Fannia Pacheco, Ernesto Exposito, Mathieu Gineste

Published in: Service-Oriented Computing

Publisher: Springer International Publishing

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Abstract

In this paper, we present an architectural framework to perform Internet traffic classification in Satellite Communications for QoS management. Such framework is based on Machine Learning techniques. We propose the elements that the framework should include, as well as an implementation proposal. We define and validate some of its elements by evaluating an Internet dataset generated on an emulated Satellite Architecture. We also outline some discussions and future works that should be addressed in order to have an accurate Internet classification system.

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Footnotes
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Metadata
Title
A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications
Authors
Fannia Pacheco
Ernesto Exposito
Mathieu Gineste
Copyright Year
2019
Book
Service-Oriented Computing

Print ISBN: 978-3-030-33701-8

Electronic ISBN: 978-3-030-33702-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-33702-5_15

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