From statistical‐ to machine learning‐based network traffic prediction-Reference-Cited by-同舟云学术

From statistical‐ to machine learning‐based network traffic prediction

Published:2021-11-13 Issue: Volume: Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Lohrasbinasab Iraj¹,Shahraki Amin²³,Taherkordi Amir²,Delia Jurcut Anca³

Affiliation:

1. Faculty of Computer Sciences Østfold University College Halden Norway

2. Department of Informatics University of Oslo Oslo Norway

3. School of Computer Science University College Dublin Dublin Ireland

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4394

Reference91 articles.

1. ShahrakiA AbbasiM dePiranM ChenM CuiS.A comprehensive survey on 6g networks: applications core services enabling technologies and future challenges; 2021. arXiv preprint arXiv:2101.12475.

2. A survey and future directions on clustering: from WSNs to IoT and modern networking paradigms;Shahraki A;IEEE Trans Netw Serv Manag,2020

3. ShahrakiA KaffashDK HaugenO.A review on the effects of IoT and smart cities technologies on urbanism. Proceedings of the 2018 South‐Eastern European Design Automation Computer Engineering Computer Networks and Society Media Conference (SEEDA_CECNSM); 2018:1‐8.

4. HorwitzL.The future of IoT miniguide: the burgeoning IoT market continues Technical report. CISCO San Jose CA; 2019.

5. A comparative node evaluation model for highly heterogeneous massive‐scale Internet of Things‐Mist networks

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