The Good, The Bad and The Fair: KPIs from Network Elements

Citation Author(s):
Yekta
Turk
Ericsson Research
Engin
Zeydan
CTTC
Zeki
Bilgin
Ericsson Research
Submitted by:
Engin Zeydan
Last updated:
Tue, 06/11/2019 - 08:53
DOI:
10.21227/1bm6-wa12
Data Format:
.csv
License:
Creative Commons Attribution
607 Views
Categories:
Communications
Keywords:
Machine Learning, network services, service quality prediction, network management
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Abstract 

 Measurements collected from R1 for root cause analyses of the network service states defined from quality and service design perspectives

Instructions: 

All features are explained in all_features.pdf file.

OTHER FIELDS:

Classs: Root cause of the problem.

 

Comments

Please cite the following publications when using the dataset:

 

Y. Turk, E. Zeydan and Z. Bilgin, “A Machine Learning Based Management System for Network Services”, in Proc. of 15th International Conference on Wireless and Mobile Computing, Networking and Communications (IEEE WiMob 2019), 21 –23rd October 2019, Barcelona, Spain.

 

 

Submitted by Engin Zeydan on Mon, 09/02/2019 - 15:06

Dataset Files

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Documentation

AttachmentSize
File ll features and their corresponding descriptions101.39 KB
File States if the network services and their corresponding root cause defined from QoS Design Perspectives60.75 KB

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