Research Area: Software Defined Networks
The advent of 5G and the ever increasing stringent requirements in terms of bandwidth, latency, and quality of service pushes the boundaries of what is feasible with legacy Mobile Network Operators technologies. Network Functions Virtualization (NFV) is a promising attempt at solving some of these challenges that is widely adopted by the industry and specified by the standardization bodies. In essence, NFV is about running Network Functions (NFs) as virtualized workloads on commodity hardware. This may optimize deployment costs and simplify the lifecycle management of NFs, but it introduces new fault management challenges and issues. In this paper, we propose a comprehensive state of the art of fault management techniques. We address the impact of virtualization in fault management. We propose a new classification of the recent fault management research achievements in the network virtualization environments and compare their major contributions and shortcomings.
Keywords:
Fault management
network functions virtualization
software defined network
machine learning
Author(s) Name: Sihem Cherrared; Sofiane Imadali; Eric Fabre; Gregor Gössler; Imen Grida Ben Yahia
Journal name: IEEE Transactions on Network and Service Management
Conferrence name:
Publisher name: IEEE
DOI: 10.1109/TNSM.2019.2948420
Volume Information: Volume: 16, Issue: 4, December 2019, Page(s): 1537 - 1551
