Cluster communication system and method for improving message transfer performances

Abstract

The invention relates to the technical field of network communications, in particular to a cluster communication system and method for improving message transfer performances. The system comprises a message release end, a message server cluster containing a plurality of message servers, a message subscribing end and a distributed coordination service cluster. The cluster communication system and method for improving message transfer performances have a global single point-free clustering expandable distributed design; if one or more nodes of the message release end or subscribing end have a fault, other nodes in the same group can continue to send or receive messages, and a processing flow of the messages is not interrupted; by adopting an index-based distributed file storage solution, the defects of the existing DB and file storage are effectively avoided, so that the read and write efficiency of the messages is higher; and by using a long poll PULL message transfer manner, the throughput is ensured while the message instantaneity is ensured.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a cluster communication system and a method thereof for improving message delivery performance. Background technique [0002] In modern distributed systems, asynchronous message transmission between multiple nodes in the cluster usually relies on messaging systems. Different from the original point-to-point communication, the message system assumes the responsibility of data routing in the entire application system, and can effectively decouple each subsystem. [0003] A message system that follows the publish-subscribe model generally consists of three objects: a message publisher (Producer), a message server (Broker), and a message subscriber (Cosumer). The message publisher is responsible for generating messages and sending them to the message server. Messages can be divided into different categories according to topics. A message subscriber subscribes to one o...

AI Technical Summary

Problems solved by technology

PULL mode means that the client actively pulls data from the server. This method has high throughput but low real-time performance.

Neither of these two delivery models can meet the application scenarios that have strict requirements on real-time and throughput

[0008] With the continuous expansion of cloud computing and the scale of the Internet, there are more and more business scenarios with high concurrency and massive message flow requirements. If the traditional message system is used, when faced with explosively increased access pressure, the traditional message system may There will be slow message processing, message loss, and even message server downtime.

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