一致性 Hash 算法

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace Consistent_Hash
{
    class Program
    {
        static void Main(string[] args)
        {
            int Server = Convert.ToInt32(Console.ReadLine());
            int Data = Convert.ToInt32(Console.ReadLine());
            int VirtualNode = Convert.ToInt32(Console.ReadLine());
            ConsistentHash result =new ConsistentHash(Data,Server,VirtualNode);
            int[] Tre = new int[10];
            Tre = result.GetConsistentHash();
            int AvNum = Data/Server;
            int temp=0;
            for (int i=0;i< Server; i++)
            {
                temp += Convert.ToInt32(Math.Pow(Tre[i] - AvNum, 2));
            }
            int STDev = Convert.ToInt32(Math.Sqrt(temp / Server));
            for (int j=0; j<Server;j++)
            {
                Console.WriteLine("Server {0} 上分布了 {1} 组数据",j,Tre[j]);
            }
            Console.WriteLine("在拥有 {0} 台服务器，{1} 组KV数据，使用 {2} 个虚拟节点的情况下，数据在服务器上分布的标准差为 {3}", Server, Data, VirtualNode, STDev);
            Console.ReadLine();
        }
        public  class ConsistentHash
        {
            private int data;
            private int server;
            private int virtualNode;
            public ConsistentHash(int data, int server, int virtualNode)
            {
                this.data = data;
                this.server = server;
                this.virtualNode = virtualNode;
            }
            public int[] GetConsistentHash()
            {
                int[] Snode =new  int[server];
                int To_server;
                int i;
                for ( i = 0; i < data; i++)
                {
                    
                    To_server = Convert.ToInt32((Math.Abs(i.ToString().GetHashCode())%(server * virtualNode))/virtualNode);
                    Snode[To_server] += 1;
                }
                return Snode;
            }
          
        }
       
    }
}