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2019 | OriginalPaper | Buchkapitel

Self-Outer-Recognition of OpenFlow Mesh in Cases of Multiple Faults

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Abstract

Recently, renewable systems have received increasing attention. We propose a metabolic architecture that is suitable for the construction of renewable systems. A metabolic architecture-based system is one that can exchange all of its elements dynamically, similar to a multicellular organism. In this way, the system not only maintains homeostasis, but also adapts to environmental changes. We are developing OpenFlow Mesh as a system based on a metabolic architecture. OpenFlow Mesh is a 2 + 1D mesh of OpenFlow switches that recognizes the outer shape, i.e., physical allocations of elements, on the basis of the network structure. Previously, we proposed a propagation-based method for determining the outer shape in the case of single faults. In this paper, we describe a method that can determine the outer shape in the case of multiple faults.

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Literatur
1.
Zurück zum Zitat Uehara, M.: Proposal of an evolutional architecture for metabolic computing. In: Proceedings of the 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011), Fukuoka, Japan, 30 November 2011 to 2 December 2011, pp. 287–292 (2011) Uehara, M.: Proposal of an evolutional architecture for metabolic computing. In: Proceedings of the 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011), Fukuoka, Japan, 30 November 2011 to 2 December 2011, pp. 287–292 (2011)
2.
Zurück zum Zitat Uehara, M.: Metabolic computing: toward truly renewable systems. IGI Glob. Int. J. Distrib. Syst. Technol. IJDST 3(3), 27–39 (2012)CrossRef Uehara, M.: Metabolic computing: toward truly renewable systems. IGI Glob. Int. J. Distrib. Syst. Technol. IJDST 3(3), 27–39 (2012)CrossRef
3.
Zurück zum Zitat Uehara, M.: OpenFlow mesh for metabolic computing. In: Barolli, L., et al. (eds.) Advances on Broad-Band Wireless Computing, Communication and Applications, Proceedings of the 18-th International Symposium on Multimedia Network Systems and Applications (MNSA-2016) in Conjunction with the 11th International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2016), Soonchunhyang University, Asan, Korea, 5–7 November 2016, pp. 613–620 Uehara, M.: OpenFlow mesh for metabolic computing. In: Barolli, L., et al. (eds.) Advances on Broad-Band Wireless Computing, Communication and Applications, Proceedings of the 18-th International Symposium on Multimedia Network Systems and Applications (MNSA-2016) in Conjunction with the 11th International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2016), Soonchunhyang University, Asan, Korea, 5–7 November 2016, pp. 613–620
5.
Zurück zum Zitat McKeown, N., et al.: OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)CrossRef McKeown, N., et al.: OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)CrossRef
6.
Zurück zum Zitat Uehara, M.: Coordinate assignment: self-outer-recognition in OpenFlow mesh. In: Proceedings of the 19th International Symposium on Multimedia Network Systems and Applications (MNSA-2017) in Conjunction with the 12th International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA-2017), Palau Macaya, Barcelona, Spain, 8–10 November 2017, pp. 608–615 Uehara, M.: Coordinate assignment: self-outer-recognition in OpenFlow mesh. In: Proceedings of the 19th International Symposium on Multimedia Network Systems and Applications (MNSA-2017) in Conjunction with the 12th International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA-2017), Palau Macaya, Barcelona, Spain, 8–10 November 2017, pp. 608–615
Metadaten
Titel
Self-Outer-Recognition of OpenFlow Mesh in Cases of Multiple Faults
verfasst von
Minoru Uehara
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-98530-5_26