Server state perceptible four-layer load balancer and balancing method

Abstract

The invention discloses a server state perceptible four-layer load balancer and a balancing method, and the balancer comprises a communication module which is used for receiving a record message of aserver, and inserting a corresponding table item into a connection table according to the record message; a data storage module which is used for collecting information of the DIP resource pool at preset time intervals and issuing a state updating event; and a weight updating module which is used for carrying out state analysis according to the state updating event, allocating weights, obtaining the weights according to the current operation state of the server, and controlling the communication module to convert weight distribution into table items and insert the table items into the routingtable so as to realize intelligent load balancing according to the current operation state. The balancer can carry out intelligent load balancing according to the current operation state of the server, reduce the overload probability of a background server, and maintain the advantages of the programmable switch in performance and flexibility.

Description

technical field [0001] The invention relates to the technical field of data transmission, in particular to a server state-aware four-layer load balancer and a balancing method. Background technique [0002] With the rapid development of various network services in recent years, and the status of the Internet in industrial production and daily life has been continuously improved. Faced with the massive traffic generated by such a large number of users, it is difficult for Internet service providers to provide services to all users through one server. At this time, increasing the number of serviceable users by increasing the number of servers is the simplest solution. This solution requires a four-layer load balancing system to evenly distribute user business requests to a large number of servers in the background and continue to transmit subsequent data packets for them. [0003] Every modern data center needs a powerful four-tier load balancing system. According to statis...

AI Technical Summary

Problems solved by technology

However, due to server heterogeneity, uncertainty of business status, etc., allocation according to fixed weights will lead to great differences in the load status of the background server during operation

That is, this strategy that does not consider the current running status of the background server can easily cause some servers to be overloaded while other servers are relatively idle

This uneven load status will lead to an increase in the response time of requests allocated to heavier load servers

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