Improvement method of distributed cache system Memcached based on BP neural network

Abstract

The invention discloses an improvement method of a distributed cache system Memcached based on BP neural network. The method comprises the following steps: initializing HC Model; training sample data by using three-layer BP neural network classifier to obtain the classification basis; inputting actual data into successfully trained three-layer BP neural network classifier to produce a hotspot data object and a cold spot data object; loading the real data of the HC Model, loading the hotspot data object and the cold spot data object to a corresponding server node. By using the HC Model and a method for distinguishing the hotspot data object and the cold spot data object dependent on the three-layer BP neural network classifier provided by the invention, a hotspot data server and a cold spot data server are newly added in comparison with the self-contained distributed node of the Memcached, and the routing and key value information of the corresponding data are stored in the server, thereby greatly improving the following access speed on the data by the system; and the working efficiency of the Memcached distributed cache system is greatly improved.

Description

technical field [0001] The invention belongs to the efficiency field of distributed cache data, and relates to a data exchange model and a data classification method. Background technique [0002] With the advent of the era of cloud computing and big data, the ever-increasing demands of user groups have brought massive data growth, forcing traditional caching technologies to increasingly show poor capacity scalability, low read and write speed, poor user experience, and weak concurrency. and other disadvantages. The distributed cache technology of cloud computing just provides a solution, which has the advantages of high-speed reading and writing, rapid expansion, support for concurrency and fast response. The distributed cache system Memcached has the characteristics of high performance and distribution. It manages cache data by maintaining a unified and huge Hash table in memory, aiming to reduce the database load of dynamic applications and improve the access speed of ca...

AI Technical Summary

Problems solved by technology

[0002] With the advent of the era of cloud computing and big data, the ever-increasing demands of user groups have brought massive data growth, forcing traditional caching technologies to increasingly show poor capacity scalability, low read and write speed, poor user experience, and weak concurrency and other disadvantages

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