Encoder-Decoder Networks for Cloud Resource Consumption Forecasting

Encoder-Decoder Networks for Cloud Resource Consumption Forecasting

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Excessive resource allocation in telecommunications networks can be prevented by forecasting the resource demand when dimensioning the networks and the allocation the necessary resources accordingly, which is an ongoing effort to achieve a more sustainable development. In this work, traffic data fro...

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Bibliographic Details
Main Author: Mejdi, Sami
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Telecommunications
Cloud
Time Series
Forecasting
Encoder-Decoder
Deep Learning
Machine Learning
Telekommunikation
Moln
Tidsserie
Prognoser
Envoder-Decoder
Djupinlärning
Maskininlärning
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291546

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http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291546

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