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What are the load selectors?

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Release: 2023-12-04 09:59:53
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Common load selectors include "Polling", "Minimum Number of Connections", 'Weighted Polling', 'IP Hash' and 'Response Time': 1. Polling, in order Requests are assigned to different servers in turn; 2. Minimum number of connections, send the request to the server with the smallest number of current connections; 3. Weighted polling, allocate requests according to the weight of the server; 4. IP hash, according to the client IP address hash value to determine which server to send the request to, ensuring that requests for the same IP address are always sent to the same server, etc.

What are the load selectors?

The operating system of this tutorial: Windows 10 system, Dell G3 computer.

In the field of computer network and server load balancing, load selectors usually refer to the load selectors used on multiple servers. Or a mechanism to allocate load between computing resources. These load selectors can decide which server to send the request to based on different algorithms and conditions to achieve load balancing.

Common load selectors include :

  1. Round Robin: Allocate requests to different servers in sequence, achieving simple load balancing.

  2. Least Connections: Send requests to the server with the smallest number of current connections to keep the server load as balanced as possible.

  3. Weighted Round Robin: Follow The weight of the server distributes the request, and the server with a high weight will get more requests.

  4. IP Hash (IP Hash): Determine the request based on the hash value of the client IP address Which server to send to, ensuring that requests with the same IP address are always sent to the same server.

  5. Response Time: Dynamically adjust the load based on the server's response time Distribution, sending requests to servers with shorter response times.

These load selectors can be used in load balancers or proxy servers to ensure that each server in the server cluster All can get reasonable load distribution, thereby improving the reliability and performance of the system.

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