Concentrated distribution type operating data management system

Abstract

This invention discloses a concentrated distribution operated data management system, which comprises a core device for concentrated storing system operated data and as a work logic centralized control-confirm point to add, modify and delete operated data, one or more than one special subject device as data's updating and researching distribution switch-in to store data of local subject device researching index and visit data appliance in every subject devices, a communicating device used in transferring data research and service request from appliance to subject device and feedback result from device to appliance. It ascertains operated data's completeness, consistence and respond efficiency to research.

Description

technical field [0001] The invention relates to a data processing system, in particular to a system for centralized and distributed management of operational data. Background technique [0002] Under the circumstances that information technology is widely used in business management, it is necessary to ensure the high integrity and consistency of operational data, and to achieve concurrent and fast retrieval of these data. , Real-time management of production is of great significance. The operational data refers to: the data has a direct impact on the results of activities based on the computer system, and is required to be added, modified, deleted, and queried in real time, and can also be added, modified, deleted, and queried in batches. In the links of storage, transmission and processing, errors cannot be introduced. For the incompleteness and inconsistency of data caused by errors in the links of storage, transmission and processing, effective exception handling measur...

AI Technical Summary

Problems solved by technology

However, if any of the above conditions are not met, there will be efficiency problems and even the needs of business applications cannot be met.

For example, when computer application systems are not all centralized, distributed applications can only use remote methods when querying information, which may lead to a decline in application transaction performance; it is difficult for a single computer system to bear all data additions and modifications Under the pressure of , deletion and query, the problem will become more complicated. If we only consider solving the load capacity of the computer from the system level, we will often have to pay a lot of system construction and operation costs, and under the technical conditions at that time may not be satisfactorily resolved

[0005] In the case of using the database system of the same manufacturer to build applications, database replication technology can be used to achieve multi-point access to queries, but this method can only support the same database, and the synchronized information is all or semantically related in the database records, rather than just syncing app-related records

[0006] The second solution requires that all distributed applications and switching centers have complete data description consistency in system implementation, and this data description consistency can be dynamically maintained as the system is upgraded, and all participating parties must be guaranteed in communication. There must be a guaranteed communication channel between the subsystem and the switching center, otherwise the entire system cannot maintain the stability of operation; on the other hand, for the data stored locally and obtained through the switching center, the response time and data acquisition There will always be some gap in the probability

Images