Paper Info
Title
Practical Performance Degradation Mitigation Solution Using Anomaly Detection for Carrier-Grade Software Networks
Abstract
One of the critical technologies required for the large scale acceptance of network functions virtualization within carrier-grade communication systems is the maintenance of a predictable performance level for the software network functions. However, due to the specific resource allocation and to the implementation of the software itself, the performance of the network functions tends to degrade in time, thus, reducing the capacity of the system to serve the specific service requirements. This article introduces a practical solution for performance degradation detection and mitigation for telecom oriented software networks. Also. It includes the mechanisms to interact with the software network and a mechanism for abnormal behaviour detection, as basis for the performance degradation automatic decisions. Furthermore, the solution is exemplified as an addition to the current 5G core network architecture and evaluated on a testbed based on the Fraunhofer FOKUS Open5GCore toolkit and IBM DeepAD. The measured results show that such a solution is feasible and should be further investigated to be integrated in the next generation carrier-grade software networks management for enabling an autonomous long duration functioning of the network.
Year
DOI
Venue
2018
10.1109/CSCN.2018.8581818
2018 IEEE Conference on Standards for Communications and Networking (CSCN)
Keywords
Field
DocType
software networks,anomaly detection,machine learning,carrier grade 5G systems
Anomaly detection,IBM,Computer science,Core network,Communications system,Testbed,Carrier grade,Resource allocation,Software,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-8147-3
0
0.34
References 
Authors
2
6
Name
Order
Citations
PageRank
Marius Iulian Corici1408.54
Teodora Sandra Buda2267.50
Ranjan Shrestha300.68
Eleonora Cau4201.90
Taner Metin500.34
Haytham Assem6216.00