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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We thank Stuart Jenkinson, Ph.D., from Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.
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Uehara, M. (2019). Self-Outer-Recognition of OpenFlow Mesh in Cases of Multiple Faults. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_26
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DOI: https://doi.org/10.1007/978-3-319-98530-5_26
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