Rainbow table parallel system design method and device based on MapReduce
A system design, rainbow table technology, applied in the direction of multi-program device, program startup/switch, special data processing application, etc., can solve the time-consuming process of rainbow table generation, the increase of interference data in the password recovery process, and the increase of disk io load And other issues
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[0040] The present invention will be further described in conjunction with specific embodiments.
[0041] MapReduce is a distributed computing software framework first proposed by Google. It can support distributed processing of large amounts of data, and can be used to solve distributed computing problems of large amounts of data, and then put the calculated results into the file system or in the database. A feature of MapReduce is that it can use map and reduce methods to deal with distributed computing problems. Each mapping operation here is relatively independent, and all maps are run in parallel, although in practice it will be affected by the number of data sources and CPUs. Similarly, a reducer set is used here to perform the reduction operation, and all map outputs with the same key will be aggregated to the same reducer. Although this process does not seem to be as efficient as serial computing, MapReduce can handle large amounts of data that cannot be handled by g...
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