Distributed cluster data service method and distributed cluster data service system

Abstract

The invention discloses a distributed cluster data service method and a distributed cluster data service system. The system comprises a client, a reverse proxy server, a Web server, a processing node, and a database server. Flexible and scalable cluster data services for distributed computing are realized by integrating multiple open source technologies. Vert. X is an open-source asynchronous non-blocking Java framework. Hazelcast is an open-source distributed framework. Nginx is a lightweight high-performance HTTP and reverse proxy server. Through the distributed service cluster of the invention, resources can be allocated effectively, and the effectiveness and efficiency of services are ensured.

Description

technical field [0001] The present invention relates to a data service field, and more specifically, to a distributed cluster data service method and system. Background technique [0002] With the rapid development of the Internet industry, the continuous expansion of organizational business, the continuous increase in demand and the continuous increase in the number of users, the technical framework is facing more and more challenges. On the one hand, with the expansion of business, how to provide reliable services for users, how to effectively deal with the problem of slow response caused by the increase in the number of concurrent requests caused by the increase in users, and how to effectively solve the problem of large data volume brought about by the increase in users question etc. On the other hand, with the continuous expansion of the company or organization's business, the demand continues to increase, more and more people join the development team, and the code ba...

AI Technical Summary

Problems solved by technology

[0004] The traditional monolithic architecture is difficult to meet the requirements of current Internet technology

[0005] 1. Poor compatibility

[0006] Adopting a unified technical standard has restrictions on technical compatibility and platform diversity, making it difficult to meet the current diverse platforms

[0007] 2. Not conducive to business expansion or change

[0008] The modules are independently developed, but there are overlapping codes. When the business changes or needs to be expanded, it can only be changed or expanded based on the entire system, and cannot be changed or expanded on demand for a certain functional module

[0009] 3. High maintenance cost

[0010] The monolithic architecture interface is lengthy and complex. After multiple system changes, the architecture will expand and be difficult to understand

[0011] 4. Poor fault tolerance

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