A smart sharing method and system based on block data

Abstract

The invention discloses a block data-based intelligent sharing method and system. The method comprises the following steps of: sending a data request by a user through a user interface; converting thedata request into a system internal command format by a system and generating a user label from identity information of the user; extracting theme information from content of the data request of theuser to form a theme label; and constructing a skip matrix for predicting data requests of users according to user labels and the theme label, so as to read block data from a public block database toa cache area more correctly and efficiently. Through constructing a data sharing system which is capable of predicting data access trends of users through analyzing data access history routes of the users and is capable of dynamically and automatically optimizing a data scheduling mechanism according to real-time data access of the users, so that the problems caused by concurrent access of mass data under big data application environment is effectively solved.

Description

technical field [0001] The invention relates to the technical field of computer software, in particular to an intelligent sharing method and system based on block data. Background technique [0002] In the big data application environment, realizing efficient data scheduling and ensuring the timeliness of user data access is one of the key factors that determine the effective and healthy operation of a big data application. When solving the problem of multi-user massive concurrent data access, the most direct way is to directly expand hardware resources. However, in business applications with a large number of concurrent users and relatively complex user business logic, the peak period of user access is likely to cause resource failure. Exponential growth, which poses a potential threat to the normal operation of the system and reduces user satisfaction. [0003] Therefore, there are defects in the prior art and need to be improved. Contents of the invention [0004] The...

AI Technical Summary

Problems solved by technology

When solving the problem of multi-user massive concurrent data access, the most direct way is to directly expand hardware resources. However, in business applications with a large number of concurrent users and relatively complex user business logic, the peak period of user access is likely to cause resource failure. Exponential growth, which poses a potential threat to the normal operation of the system and reduces user satisfaction

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