Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation
Author:
Affiliation:
1. IEIIT CNR Institute, Politecnico di Turin, Torino, Italy
2. Department of Electronics and Telecommunications (DET), Politecnico di Torino, Turin, Italy
3. IMDEA Networks Institute, Leganés, Spain
Funder
European Commission through the Horizon 2020 Framework Programme
Marie Sklodowska-Curie Actions Innovative Training Networks (MSCAITN)-EID through Big dAta aNalYtics for radio Access Networks
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10015152.pdf?arnumber=10015152
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4. Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea
5. A Prediction Method of Network Traffic Using Time Series Models
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