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• W2949524982 abstract "We develop an algorithm capable of compressing large networks into a smaller ones with similar control plane behavior: For every stable routing solution in the large, original network, there exists a corresponding solution in the compressed network, and vice versa. Our compression algorithm preserves a wide variety of network properties including reachability, loop freedom, and path length. Consequently, operators may speed up network analysis, based on simulation, emulation, or verification, by analyzing only the compressed network. Our approach is based on a new theory of control plane equivalence. We implement these ideas in a tool called Bonsai and apply it to real and synthetic networks. Bonsai can shrink real networks by over a factor of 5 and speed up analysis by several orders of magnitude." @default.
• W2949524982 created "2019-06-27" @default.
• W2949524982 creator A5013518229 @default.
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• W2949524982 date "2018-06-22" @default.
• W2949524982 modified "2023-09-23" @default.
• W2949524982 title "Control Plane Compression" @default.
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• W2949524982 hasPublicationYear "2018" @default.
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