Load balancing algorithms play a crucial role in distributing incoming client requests across a group of servers to optimize performance and ensure efficient resource utilization. Have you ever thought how Google or Netflix balances so huge Internet Traffic?
𝐋𝐞𝐭’𝐬 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬
Here are six different load balancing algorithms along with their use cases and scenarios:
𝐑𝐨𝐮𝐧𝐝 𝐑𝐨𝐛𝐢𝐧 :
This is the most widely used algorithm and is easy to implement and understand. Requests are distributed sequentially to each server in rotation.
🔸It is suitable for scenarios where all servers have similar capabilities and there is no need for session persistence.
𝐖𝐞𝐢𝐠𝐡𝐭𝐞𝐝 𝐑𝐨𝐮𝐧𝐝 𝐑𝐨𝐛𝐢𝐧 :
This algorithm assigns weights to servers based on their capacity, allowing for proportional distribution of requests.
🔸It is useful when servers have different capabilities and you want to allocate more traffic to higher-capacity servers.
𝐋𝐞𝐚𝐬𝐭 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧𝐬 :
In this algorithm, requests are sent to the server with the fewest current connections.
🔸 It takes into account the computing capacity of each server and is suitable for scenarios where server load varies dynamically.
𝐈𝐏 𝐇𝐚𝐬𝐡 :
This algorithm uses the client’s IP address to determine which server to send the request to.
🔸 It ensures that requests from the same client are consistently routed to the same server, which is useful for maintaining session persistence.
𝐋𝐞𝐚𝐬𝐭 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐓𝐢𝐦𝐞 :
This algorithm directs requests to the server with the lowest response time.
🔸 It is beneficial when you want to minimize latency and ensure faster response for clients.
𝐑𝐚𝐧𝐝𝐨𝐦 :
In this algorithm, requests are randomly distributed among the available servers.
🔸It can be useful in scenarios where you want to evenly distribute the load without any specific criteria.
The choice of algorithm depends on factors such as server capabilities, traffic patterns, session persistence requirements, and performance goals which ensure a reliable and scalable infrastructure for your applications.
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