Data transmission system and data transmission method used for distributed application system

Abstract

The invention provides a data transmission system used for a distributed application system. The data transmission system comprises a sending party and a receiving party, wherein the sending party comprises a data splitting unit used for splitting service data to be sent into multiple data messages, a message generating unit used for generating control messages corresponding to the data messages, a data sending unit used for sending the data messages and the control messages to a message-oriented middleware so as to allow the receiving party to obtain and process the data messages according to the control messages. The invention further provides a data transmission method used for the distributed application system. By the technical scheme, asynchronous and loosely-coupled distributed data transmission can be realized without depending on specific middleware, transportability is good, complexity of system realization can be effectively lowered, and especially, common memory problems and concurrent problems under large-data-volume and cluster environments are solved.

Description

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AI Technical Summary

Benefits of technology

The technology described by this patented solution allows for synchronized distribution over multiple devices with no special software needed. This makes communication more efficient because each device only needs its own unique identifier instead of being connected directly together through an interface or network.

Problems solved by technology

Technological Problem addressed in this patented technical problem relates to improving the efficiency and reliability of message passing during complex interactions involving various types of computerized devices like email clients and web services. Current solutions involve either synchronous transferring protocols over broadcasting channels or batch processing approaches where individual tasks must wait until next generation events occur before continuation. These techniques require significant resources and slow down overall performance. Additionally, current implementations lack flexibility in selecting an appropriate thread context among different threads without adding unnecessary overhead.

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