Intelligent dynamic load balancing method for high-speed real-time database

Abstract

The invention discloses an intelligent dynamic load balancing method for a high-speed real-time database. The method comprises the following steps of: configuring cluster arbitration tables with consistent content in each client and each cluster server node; dividing a background data storage module into different physical storage partitions; establishing communication and connection between the client and each cluster server node; maintaining the consistent content of the cluster arbitration tables in servers on respective cluster server nodes by respective cluster server nodes; receiving and processing a task sent by the client; initiating a data reading and writing request to a global virtual internet protocol (IP) address by the client; sending the request to a destination cluster server node by a network communication management module; and performing necessary verification by a target cluster server node after the request submitted by the client is received, and processing a legal request. According to the method, hardware and software resources of a plurality of server nodes are flexibly integrated and optimal utilization and scheduling of hardware platform recourses are realized.

Description

technical field [0001] The invention relates to a server dynamic load balancing method, in particular to an intelligent dynamic load balancing method for a high-speed real-time database. Background technique [0002] At present, in the deployment technology of real-time / historical database systems, the traditional dual-machine hot standby cluster method is adopted without exception: two server hosts share a physical storage device, and heartbeat signals are used between the two hosts to determine who will Who will be the "master" and who will be the "standby". At any one time, only one of the hosts can become the "master" and take over shared array resources. That is to say, in the dual-machine hot backup technology of the traditional real-time / historical database system, only one server host is providing services at the same time, and the other one is idle. If and only when the current "host" fails, the other server host Only then will the actual workload be carried out. ...

AI Technical Summary

Problems solved by technology

[0004] 1. The resource advantages of multiple servers cannot be fully utilized, and expensive server resources are idle in most cases

[0005] 2. When a single machine fails, the number of resources that need to be switched and alternated with control rights is huge, resulting in a relatively long service blocking time

[0006] 3. Due to the "either A or B" model in the current technology, the management flexibility of the business load logic is very poor, and it is impossible to organically integrate resources, loads and requirements, and deploy more advanced technical solutions

[0007] 4. Some existing technologies implement load distribution through network message forwarding. Although the purpose of load sharing is achieved to a certain extent, multiple network forwarding not only causes a great waste of network bandwidth, but also The performance degradation caused by the

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