7 Load Balancing Algorithms Explained in Simple Terms | LoadLabs

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7 Load Balancing Algorithms Explained in Simple Terms Load balancing algorithms are used in distributed systems to efficiently distribute incoming network traffic across multiple servers or resources. Here are seven commonly used load balancing algorithms: 1. Round Robin: This algorithm distributes incoming requests equally among available servers in a cyclic manner. Each server receives requests in turn, ensuring a fair distribution of the load. Round Robin is simple to implement but doesn't consider server capacity or current load. 2. Weighted Round Robin: Similar to Round Robin, this algorithm assigns a weight or priority to each server. Servers with higher weights receive a larger share of requests, allowing administrators to allocate more resources to high-capacity servers. 3. Least Connection: This algorithm directs requests to servers with the fewest active connections. It aims to evenly distribute the load by sending new requests to the server that currently has the lowest connection count. This approach works well when connection durations vary significantly. 4. Least Response Time: Also known as Fastest Response Time or Shortest Job Next, this algorithm directs requests to the server with the lowest response time. It continuously monitors server response times and prioritizes requests based on server performance. This algorithm is effective when response times differ significantly among servers. 5. IP Hash: With this algorithm, the client's IP address is used to determine the server to which it is directed. The algorithm calculates a hash value based on the client's IP address and maps it to a specific server. This approach ensures that requests from the same IP are consistently directed to the same server, which can be advantageous for session-based applications. 6. Least Bandwidth: This algorithm directs requests to the server with the least amount of current network traffic or available bandwidth. It ensures that requests are distributed to servers that have more capacity to handle additional traffic. 7. Random: This algorithm selects a server randomly from the available pool for each incoming request. It offers a simple and unbiased approach to load balancing, but it may not evenly distribute the load and can result in imbalanced server utilization. These load balancing algorithms can be implemented in hardware or software-based load balancers, or even directly within the application itself. The choice of algorithm depends on factors such as the application's requirements, server capacities, and expected traffic patterns. For More Apache JMeter Interview Questions : bit.ly/3zFGkcb
پارسال در تاریخ 1402/03/20 منتشر شده است.
30 بـار بازدید شده
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