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Approach: Assigns a weight to each server based on its capacity or average response time, then distributes requests in accordance. Suitable Scenarios: Useful when server capacities vary and requests should be allocated proportional to server performance.

Approach: Selects a server at random for each incoming request. Suitable Scenarios: Good for small and uniformly performing server clusters, or when other strategies introduce too much overhead.

Approach: Uses a hash of the client's IP address to determine which server receives the request, ensuring session persistence. Suitable Scenarios: Beneficial for maintaining user session consistency across requests.

Approach: Combines the Least Connections method with a dynamic server response time calculation, directing to the server with the lowest time. Suitable Scenarios: Good for when rapid response time is crucial and server load needs consideration.

Approach: Directs new requests to the server with the fewest active connections. Suitable Scenarios: Effective when request load is highly variable and servers have similar capacities.

Approach: Similar to Least Connections but considers server capacity; directs new requests to the server with the lowest ratio of active connections to server weight. Suitable Scenarios: Ideal for when server capacities differ significantly and systems experience uneven request loads.

Approach: Distributes incoming requests evenly across all servers in a circular order. Suitable Scenarios: Simple and optimal for equal distribution when requests require similar processing time.