Dynamic planning-based collaborative optimization method for distributed database systems
A distributed data and dynamic programming technology, applied in the field of Internet cloud computing and big data, can solve the problems of difficult and accurate modeling of high-concurrency task plans and the impact of optimization effects, and achieve strong real-time processing capabilities, good load balance, and high efficiency. high effect
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[0046] refer to figure 1 , the present invention is based on the dynamic programming distributed database system collaborative optimization method comprising the following steps:
[0047] A. Using the block method based on data flow, block the indistinguishable relationship between the combined operation of the distributed data corpus on the data unit according to the planned task sequence into a series of data primitives that cannot be further divided:
[0048] In the field of big data processing, the biggest feature of computing resources, data, and processing request points is distribution, and the data shows a trend of unstructured, so it is expected that the data flow block method can play a good role in this type of distributed database system , it is necessary to design a data block method that fully considers the above problems, has low communication cost and reliable results.
[0049] In this method, the quaternary information system description method is used to exp...
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