The article Consistent Hashing with Load Bounds discusses the problems solved by consistent hashing with load bounds, as well as the theoretical aspects such as algorithm principles. This article will use GPT to discuss how to implement the C# code.
If implementing consistent hashing with bounded load through C# code, one can use the MurmurHash3 hash function to generate hash values for each node in the system, and then map each key to the node whose hash value is closest to the hash value of the key. Below is an example implementation provided by GPT.
Bounded Load Consistent Hashing function is implemented using the C# code:
In the code example above, an instance of ConsistentHash is created and three nodes are added to it. Then, the GetNode method is used to obtain the node to which a key belongs, and the GetLoad method is used to get the load of that node. By default, the maximum load for each node is 3, so when the load reaches 3, no more keys will be assigned to that node.