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• W2904684305 abstract "The super point, a host which communicates with lots of others, is a kind of special hosts gotten great focus. Mining super point at the edge of a network is the foundation of many network research fields. In this paper, we proposed the most memory efficient super points detection scheme. This scheme contains a super points reconstruction algorithm called short estimator and a super points filter algorithm called long estimator. Short estimator gives a super points candidate list using thousands of bytes memory and long estimator improves the accuracy of detection result using millions of bytes memory. Combining short estimator and long estimator, our scheme acquires the highest accuracy using the smallest memory than other algorithms. There is no data confliction and floating operation in our scheme. This ensures that our scheme is suitable for parallel running and we deploy our scheme on a common GPU to accelerate processing speed. Experiments on several real-world core network traffics show that our algorithm acquires the highest accuracy with only consuming littler than one-fifth memory of other algorithms." @default.
• W2904684305 created "2018-12-22" @default.
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• W2904684305 date "2018-01-01" @default.
• W2904684305 modified "2023-09-23" @default.
• W2904684305 title "Most Memory Efficient Distributed Super Points Detection on Core Networks" @default.
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• W2904684305 doi "https://doi.org/10.1007/978-3-030-05051-1_11" @default.
• W2904684305 hasPublicationYear "2018" @default.
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