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- W2392806193 abstract "In high speed networks, the forwarding performance of a network device which captures flows is inevitably degraded. A parallel flow generating approach based on small size cloud computing platform outside of network device is proposed. A small size cloud can be deployed near the selected network device being monitored, and packet traffic through the network device is copied into the cloud.Then flow records can be extracted fast from the large volume packet traffic by the parallel Map-Reduce framework of cloud. A parallel flow extraction algorithm based on Map-Reduce framework is proposed. In addition, cloud scale is flexible to expand, and by configuring proper cloud workers, this approach can be adopted to analyze network traffic in arbitrary size. Real network packet traffic is used to verify the performance of the parallel flow generating approach. Analysis results show that in clouds consisting of 3, 5 or 7 worker nodes,15 160 052 flows are recognized from more than 40 GB text packet data, and comparing against sequentially processing method, the consumed time are reduced by more than 85%, 90% and 94%, respectively." @default.
- W2392806193 created "2016-06-24" @default.
- W2392806193 creator A5049098241 @default.
- W2392806193 date "2013-01-01" @default.
- W2392806193 modified "2023-09-26" @default.
- W2392806193 title "A Parallel Flow Generating Approach Based on Cloud Computing" @default.
- W2392806193 hasPublicationYear "2013" @default.
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