Self-Healing for Software Defined Networking


연구 분야: Networking



학회: 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)


초록

The advent of software-defined networking and virtualization of network functions has brought numerous advantages; however, to achieve the flexibility and programmability envisaged in these technologies, new components in the control and management planes were introduced. Such components require fast recovery because without management the entire data plane is inoperable. To deal with flaws in these plans, the self-healing technique is used, explored in the work that is summarized in this document. The results prove the self-healing efficiency in network slices with strict quality requirements and also demonstrate that the introduced framework is capable of self-healing, that is, healing the degraded environment as well as healing itself.


Author Profile
Arun Biradar

School of Computer Science and Engineering Reva University Bengaluru Karnataka India

Andorra
Author Profile
Madhavarapu Chandan

Department of Computer science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India

Andorra
Author Profile
Y M Raghavendra

Department of Electronics and Communication Engineering GSSS Institute of Engineering and Technology for Women Mysuru Kamataka India

Andorra

📄 논문 정보

발행 연도 2023년
인용수 3
출판 국가 Andorra, Belgium
사이트 IEEE
좋아요 수 0

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