Real-time event processing system and method based on cloud computing in computer software system

Abstract

The invention relates to real-time event handling system and method based on cloud computing in a computer software system and belongs to the technical field of computer software application. The system comprises an SEDA (staged event-driven architecture) distributed message framework and a Redis (remote dictionary server) core memory processing framework. The method using the system includes receiving message operation and sending message operation. The distributed message framework and the Redis core memory processing frame are integrated by the method, and accordingly high-concurrent requests and large data volume processing requests can be handled effectively, a complex business logic processing process is achieved, the requirements for high-throughput and low-latency performance are met, system resources are controlled effectively, reliability of operation process is increased, objectives for staged design of performance and free extension within a certain range are reached, the real-time event handling system and method are suitable for business activity monitoring or quasi-real time analyzing systems which are strictly demanded for performance. The real-time event handling system is simple in structure and low in application cost.

Description

Technical field [0001] The present invention relates to the technical field of computer software application, in particular to the technical field of event processing in a computer software system, and specifically refers to a real-time event processing system and method based on cloud computing in a computer software system. Background technique [0002] Today is an era of IT incidents, and every application software system is constantly producing a large number of incidents. The capture, real-time processing, and quasi-real-time analysis of massive events in the cloud computing environment have become an important field of network information technology at present and even in the future. When each application system sends real-time events in an active push mode, achieving low-latency processing at high throughput becomes a tricky technical problem. [0003] When solving the problem of real-time processing of large amounts of data, the industry is in a state of blooming flowers. ...

AI Technical Summary

Problems solved by technology

[0007] In-memory databases are also called NoSQL databases or non-relational databases. Traditional caching technologies still query relational databases when there is a miss. This does not significantly improve performance in frequent update scenarios, but makes the processing logic more complicated.

In-memory databases can completely replace relational databases in some scenarios. In the era of large data volumes and real-time demands for high throughput and low latency, the architecture centered on relational databases is developing towards an architecture centered on memory technology. , the business logic without in-memory technology seems to be correct, but it is already overwhelmed

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