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Hashing Methods

Posted: Sun Jan 05, 2025 10:53 am
Load Balancer Methods
Load balancer management is divided into different types. Let's examine the methods together!

1. Round Robin Method
This method refers to algorithms in which servers are selected sequentially and traffic is distributed according to this order. In this algorithm, the load balancer selects the first server from the specified order for the first of the requests and then proceeds to the continuation of the order. When the end of the order is reached, the selection continues from the beginning again and downwards. To put it more clearly, by distributing to each server in the server pool in a listed manner, equal distribution is constantly provided between the servers. In a situation where the traffic density is low and the server features are equal, “Round Robin” is used as the most ideal method.

With hashing methods, decisions are made based on a mix venezuela mobile phone number of data in the incoming packet. This includes the source or target IP address, port number, URL or domain name, and the connection and header information in the receiving packet.

3. Least Response Time Method
The minimum response time method is a more advanced method than the minimum connections method that we will discuss below. It is based on the time it takes for a server to respond to a request. The response time indicates how busy the server is and what kind of user experience is expected.


4. Custom Load Method
The load balancer uses a special loading method to query the load on some servers via SNMP. The server load to be investigated (CPU usage, response time and memory consumption) can be determined and then mixed to meet the demands.

5. Least Connections Method
In the least connections method, the load balancer chooses the server with the least connections. This method is recommended in cases where traffic results in a higher density. With this method, all servers are loaded equally; at this point, it helps to achieve the highest performance that can occur especially during peak hours.