Proactive Failure Recovery for Stateful NFV

Network Function Virtualization (NFV) technology is viewed as a significant component of both the fifth-generation (5G) communication networks and edge computing. In this paper, through reviewing the state-of-the-art work on applying NFV to edge computing, we identify that an urgent research challen...

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Bibliographic Details
Published inProceedings - International Conference on Parallel and Distributed Systems pp. 536 - 543
Main Authors Huang, Zhenyi, Huang, Huawei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2020
Subjects
Communication networks
Conferences
Edge computing
Failure Recovery
Network function virtualization
NFV
Prediction algorithms
Real-time systems
Simulation
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ISSN2690-5965
DOI10.1109/ICPADS51040.2020.00075

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Summary:Network Function Virtualization (NFV) technology is viewed as a significant component of both the fifth-generation (5G) communication networks and edge computing. In this paper, through reviewing the state-of-the-art work on applying NFV to edge computing, we identify that an urgent research challenge is to provide the proactive failure recovery mechanism for the stateful NFV. To realize such proactive failure recovery, we propose a prediction-based algorithm for redeploying the stateful NFV instances in real-time when network failures occur. The proposed algorithm is based on relax and rounding technique. The theoretical performance guarantee is also analyzed rigorously. Simulation results show that the proposed failure recovery algorithm outperforms the reactive-manner baselines significantly in terms of redeployment latency.
ISSN:2690-5965
DOI:10.1109/ICPADS51040.2020.00075