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- W2810749091 abstract "With the increasing demand of data from all walks of life, as the data processing department, the data center has been overwhelmed by the massive data processing request. The solution to this problem is to distribute data traffic to multiple device nodes for distributed processing by using the strategy of data migration. Taking into consideration of the load balance, migration costs, bandwidth constraints and other factors, we designed a two-level model of multi-intelligent data migration strategy based on SDN to solve the problem of data migration. In the first level of model, the data migration is determined by satisfaction survey for the users, the system load and the users' query characteristics. In the second level of model, the cold and hot data region is determined firstly based on the naive Bayes probability algorithm. Then, the cold data is deleted directly and the hot data is processed and its direction is determined by using the improved firefly algorithm. Finally, we verify the rationality and reliability of the algorithm through comparative experiments." @default.
- W2810749091 created "2018-07-10" @default.
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- W2810749091 date "2018-05-01" @default.
- W2810749091 modified "2023-10-17" @default.
- W2810749091 title "Design of multi-intelligent data migration strategy based on SDN secondary mode" @default.
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- W2810749091 doi "https://doi.org/10.1109/icaibd.2018.8396170" @default.
- W2810749091 hasPublicationYear "2018" @default.
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