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Systems are always be checked and accepted easily. But with time passing by, systems are getting more and more slowly, and eventually, exceed the limit of userspsila patience. Itpsilas quite often that one Bottleneck appears followed by another was just solved. Therefore, finding the point of balance and making best use of all the resource in a certain range is a more realistic purpose. In this article, was taken as an example, optimization was done in the field of cluster, database and application. An efficient and effective optimizing strategy for massive data management system was raised. Moreover, this strategy can be popularized in all information management system.