Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-19701| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | Proactive controller assignment schemes in SDN for fast recovery |
| Authors: | Guner, Selcan Gür, Gürkan Alagöz, Fatih |
| et. al: | No |
| DOI: | 10.1109/ICOIN48656.2020.9016544 10.21256/zhaw-19701 |
| Proceedings: | 2020 International Conference on Information Networking (ICOIN) |
| Page(s): | 136 |
| Pages to: | 141 |
| Conference details: | 2020 International Conference on Information Networking (ICOIN), Barcelona, Spain, 7-10 January 2020 |
| Issue Date: | 2020 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 978-1-7281-4199-2 |
| Language: | English |
| Subject (DDC): | 004: Computer science |
| Abstract: | A sizeable software defined network with a single controller responsible for all forwarding elements is potentially failure-prone and inadequate for dynamic network loads. To this end, having multiple controllers improves resilience and distributes network control overhead. However, when there is a disruption in the control plane, a rapid and performant controller-switch assignment is critical, which is a challenging technical question. In this work, we propose a proactive switch assignment approach in case of controller failures using a genetic algorithm based heuristic that considers controller load distribution, reassignment cost and probability of failure. Moreover, we compare the performance of our scheme with random and greedy algorithms. Experiment results show that our proposed PREFCP framework has better performance in terms of probability of failure and controller load distribution |
| Further description: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19701 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020_Güner-Gür-Alagöz_Proactive-Controller-Assignment.pdf | Accepted Version | 434.62 kB | Adobe PDF |  View/Open |
Show full item record
Guner, S., Gür, G., & Alagöz, F. (2020). Proactive controller assignment schemes in SDN for fast recovery [Conference paper]. 2020 International Conference on Information Networking (ICOIN), 136–141. https://doi.org/10.1109/ICOIN48656.2020.9016544
Guner, S., Gür, G. and Alagöz, F. (2020) ‘Proactive controller assignment schemes in SDN for fast recovery’, in 2020 International Conference on Information Networking (ICOIN). IEEE, pp. 136–141. Available at: https://doi.org/10.1109/ICOIN48656.2020.9016544.
S. Guner, G. Gür, and F. Alagöz, “Proactive controller assignment schemes in SDN for fast recovery,” in 2020 International Conference on Information Networking (ICOIN), 2020, pp. 136–141. doi: 10.1109/ICOIN48656.2020.9016544.
GUNER, Selcan, Gürkan GÜR und Fatih ALAGÖZ, 2020. Proactive controller assignment schemes in SDN for fast recovery. In: 2020 International Conference on Information Networking (ICOIN). Conference paper. IEEE. 2020. S. 136–141. ISBN 978-1-7281-4199-2
Guner, Selcan, Gürkan Gür, and Fatih Alagöz. 2020. “Proactive Controller Assignment Schemes in SDN for Fast Recovery.” Conference paper. In 2020 International Conference on Information Networking (ICOIN), 136–41. IEEE. https://doi.org/10.1109/ICOIN48656.2020.9016544.
Guner, Selcan, et al. “Proactive Controller Assignment Schemes in SDN for Fast Recovery.” 2020 International Conference on Information Networking (ICOIN), IEEE, 2020, pp. 136–41, https://doi.org/10.1109/ICOIN48656.2020.9016544.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.