Evaluation method optimizing efficiency of distributed operation process
An evaluation method and distributed technology, applied in computing, instruments, data processing applications, etc., can solve the problems of not considering the choice of stand-alone/distributed mode, low data processing efficiency, etc., to improve processing flexibility, improve efficiency, The effect of reducing resource consumption
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[0026] This embodiment mainly elaborates in detail in conjunction with the technical solution of the present application:
[0027] 1. Data processing atomic operation convention:
[0028] (1) Data pull: Data set S is currently stored on M machines in the cluster, and S is collected and stored on N machines through network transmission. Usually M is much larger than N, and N is greater than or equal to 1.
[0029] (2) Data distribution: Data set S is currently stored on M machines in the cluster, and S is collected and stored on N machines through network transmission. Usually M is equal to 1, and N is greater than M.
[0030] (3) Data conversion: the state of a data record changes
[0031] (4) Data aggregation: Perform basic arithmetic operations or basic operations on a data set, such as intersection, union, and complement.
[0032] 2. Assume that Table 1 is a sample of daily turnover data of various branches of a chain supermarket across the country:
[0033]
[0034] ...
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