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• W2803141555 abstract "In this paper we propose a platform that optimizes the available end-to-end throughput in real time through overlay networks. With the knowledge the network topology and conditions, it strives to achieve the optimal end-to-end throughput by exploring the last-mile diversity. It allows the flexible and responsive per-end-user selection of the edge node for the overlay networks, and thus can fast recover from network failures and performance degradation. We present our design of the end-to-end throughput optimization system with detailed discussion of each component including dynamic routing engine, performance monitor and information exchange. Our experimental results from a real-world deployment show that compared to the performance-oblivious routing, it not only brings up to 5 times throughput gains in the presence of 0.05% loss, but also improves 20% throughput when facing delay increase in the original path." @default.
• W2803141555 created "2018-06-01" @default.
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• W2803141555 creator A5090688439 @default.
• W2803141555 date "2018-03-01" @default.
• W2803141555 modified "2023-09-25" @default.
• W2803141555 title "End-to-end network throughput optimization through last-mile diversity" @default.
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• W2803141555 doi "https://doi.org/10.1109/ciss.2018.8362253" @default.
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