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Load balancing algorithms. How to choose a specific service instance?
sobes.tech AI
Answer from AI
Load balancing is the distribution of incoming requests across multiple service instances to improve fault tolerance and performance.
Main load balancing algorithms:
- Round Robin — requests are sequentially directed to each instance in a circular manner.
- Least Connections — the instance with the fewest active connections is chosen.
- IP Hash — the instance is selected based on a hash of the client's IP, ensuring session persistence on the same server.
- Weighted Round Robin / Least Connections — consider the weight of the instance (e.g., capacity).
The choice of a specific instance depends on the requirements:
- If uniform load distribution is important — Round Robin.
- If instances differ in capacity — Weighted algorithms.
- To maintain session persistence — IP Hash.
- To minimize delays — Least Connections.
Example in C# (simplified Round Robin):
class LoadBalancer
{
private readonly List<string> _instances;
private int _lastIndex = -1;
public LoadBalancer(List<string> instances)
{
_instances = instances;
}
public string GetNextInstance()
{
_lastIndex = (_lastIndex + 1) % _instances.Count;
return _instances[_lastIndex];
}
}
This class cyclically returns the next instance from the list.