作为处理大数据集的概念框架，MapReduce对于使用许多计算机来解决分布式问题而言是高度优化的。

As a conceptual framework for processing huge data sets, MapReduce is highly optimized for distributed problem-solving using a large number of computers.

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优化的数据流：服务调用包含两个部分（通常为两台计算机）间的数据交换。

Optimized data flow: The service invocation consists of a data exchange between two parts (traditionally two computers).

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而且，猎星人输入的数据可以用来校正计算机算法，从而优化计算机性能。

And input from the human planet hunters is used to refine the algorithms, improving their performance.

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