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  • 常用负载均衡算法及实现

    1.轮询负载均衡算法

     1 /// <summary>
     2     /// 轮询负载均衡算法
     3     /// </summary>
     4     public static class RoundRobin
     5     {
     6         private static object obj = new object();
     7 
     8         static Dictionary<string, int> dic = new Dictionary<string, int>
     9         {
    10             { "192.168.1.12", 1},
    11             {"192.168.1.13", 1 },
    12             { "192.168.1.14", 3},
    13             { "192.168.1.15", 1},
    14             {"192.168.1.16", 1},
    15             {"192.168.1.17", 1 },
    16             { "192.168.1.18", 1},
    17             { "192.168.1.19", 1}
    18         };
    19 
    20         static int pos = 0;
    21         public static string roundRobin()
    22         {
    23             var keyList = dic.Keys.ToList();
    24 
    25 
    26             string server = null;
    27 
    28             lock (obj)
    29             {
    30                 if (pos >= keyList.Count)
    31                 {
    32                     pos = 0;
    33                 }
    34                 server = keyList[pos];
    35                 pos++;
    36             }
    37             return server;
    38         }
    39     }
    40 
    41 优点:
    42    请求分配平均
    43 缺点:
    44    不能根据机器配置的好坏进行分配
    轮询负载均衡算法

    2.加权轮询负载均衡算法

     1  /// <summary>
     2     /// 加权轮询算法
     3     /// </summary>
     4     public static class WeightRoundRobin
     5     {
     6         private static object obj = new object();
     7         private static int pos = 0;
     8 
     9         static Dictionary<string, int> dic = new Dictionary<string, int>
    10         {
    11             { "192.168.1.12", 1},
    12             {"192.168.1.13", 1 },
    13             { "192.168.1.14", 3},
    14             { "192.168.1.15", 1},
    15             {"192.168.1.16", 1},
    16             {"192.168.1.17", 1 },
    17             { "192.168.1.18", 1},
    18             { "192.168.1.19", 1}
    19         };
    20 
    21         public static string roundRobin()
    22         {
    23             //獲取ip列表list
    24             List<string> it = dic.Keys.ToList();
    25 
    26             List<String> serverList = new List<string>();
    27 
    28             foreach (var item in it)
    29             {
    30                 int weight = 0;
    31                 dic.TryGetValue(item, out weight);
    32 
    33                 for (int i = 0; i < weight; i++)
    34                 {
    35                     serverList.Add(item);
    36                 }
    37             }
    38 
    39             string server = null;
    40 
    41             lock (obj)
    42             {
    43                 if (pos >= serverList.Count)
    44                 {
    45                     pos = 0;
    46                 }
    47                 server = serverList[pos];
    48                 pos++;
    49             }
    50             return server;
    51         }
    52 
    53     }
    加权轮询算法

    3.加权随机负载均衡算法

     1  /// <summary>
     2     /// 加权随机负载均衡算法
     3     /// </summary>
     4     public static class WeightRandom
     5     {
     6 
     7         static Dictionary<string, int> dic = new Dictionary<string, int>
     8         {
     9             { "192.168.1.12", 1},
    10             {"192.168.1.13", 1 },
    11             { "192.168.1.14", 3},
    12             { "192.168.1.15", 1},
    13             {"192.168.1.16", 1},
    14             {"192.168.1.17", 1 },
    15             { "192.168.1.18", 1},
    16             { "192.168.1.19", 1}
    17         };
    18 
    19         public static string weightRandom()
    20         {
    21             //獲取ip列表list
    22             List<string> it = dic.Keys.ToList();
    23 
    24             List<String> serverList = new List<string>();
    25 
    26             foreach (var item in it)
    27             {
    28                 int weight = 0;
    29                 dic.TryGetValue(item, out weight);
    30 
    31                 for (int i = 0; i < weight; i++)
    32                 {
    33                     serverList.Add(item);
    34                 }
    35             }
    36             Random random = new Random();
    37             int randomPos = random.Next(serverList.Count);
    38             string server = serverList[randomPos];
    39             return server;
    40         }
    41     }
    加权随机负载均衡算法

    4.IP Hash负载均衡算法

     1    /// <summary>
     2     /// IP Hash负载均衡算法
     3     /// </summary>
     4     public static class IpHash
     5     {
     6         static Dictionary<string, int> dic = new Dictionary<string, int>
     7         {
     8             { "192.168.1.12", 1},
     9             {"192.168.1.13", 1 },
    10             { "192.168.1.14", 3},
    11             { "192.168.1.15", 1},
    12             {"192.168.1.16", 1},
    13             {"192.168.1.17", 1 },
    14             { "192.168.1.18", 1},
    15             { "192.168.1.19", 1}
    16         };
    17 
    18         public static string ipHash(string remoteIp)
    19         {
    20             List<string> keys = dic.Keys.ToList();
    21 
    22             int hashCode = Math.Abs(remoteIp.GetHashCode());
    23             int serverListSize = keys.Count;
    24             int serverPos = hashCode % serverListSize;
    25 
    26             return keys[serverPos];
    27         }
    28 
    29     }
    IP Hash负载均衡算法

    5.Twitter全局唯一ID生成算法

      1  测试:private static void TestIdWorker()
      2         {
      3             HashSet<long> set = new HashSet<long>();
      4             IdWorker idWorker1 = new IdWorker(0, 0);
      5             IdWorker idWorker2 = new IdWorker(1, 0);
      6             //762884413578018816
      7             //762884520121729024
      8             Stopwatch sw = new Stopwatch();
      9             sw.Start();
     10             for (int i = 0; i < 1; i++)
     11             {
     12                 long id = idWorker1.nextId();
     13                 set.Add(id);
     14                 //if (!set.Add(id))
     15                 //{
     16                 //Console.WriteLine("duplicate:" + id);
     17                 //}
     18             }
     19             sw.Stop();
     20             foreach (var item in set)
     21             {
     22                 Console.WriteLine("结果:" + item);
     23             }
     24             Console.WriteLine("时间:" + sw.ElapsedTicks);
     25             return;
     26 }
     27 
     28 
     29 算法:
     30 
     31  /// <summary>
     32     /// From: https://github.com/twitter/snowflake
     33     /// An object that generates IDs.
     34     /// This is broken into a separate class in case
     35     /// we ever want to support multiple worker threads
     36     /// per process
     37     /// </summary>
     38     public class IdWorker
     39     {
     40         private long workerId;
     41         private long datacenterId;
     42         private long sequence = 0L;
     43 
     44         private static long twepoch = 1288834974657L;
     45 
     46         private static long workerIdBits = 5L;
     47         private static long datacenterIdBits = 5L;
     48         private static long maxWorkerId = -1L ^ (-1L << (int)workerIdBits);
     49         private static long maxDatacenterId = -1L ^ (-1L << (int)datacenterIdBits);
     50         private static long sequenceBits = 12L;
     51 
     52         private long workerIdShift = sequenceBits;
     53         private long datacenterIdShift = sequenceBits + workerIdBits;
     54         private long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits;
     55         private long sequenceMask = -1L ^ (-1L << (int)sequenceBits);
     56 
     57         private long lastTimestamp = -1L;
     58         private static object syncRoot = new object();
     59 
     60         public IdWorker(long workerId, long datacenterId)
     61         {
     62 
     63             // sanity check for workerId
     64             if (workerId > maxWorkerId || workerId < 0)
     65             {
     66                 throw new ArgumentException(string.Format("worker Id can't be greater than %d or less than 0", maxWorkerId));
     67             }
     68             if (datacenterId > maxDatacenterId || datacenterId < 0)
     69             {
     70                 throw new ArgumentException(string.Format("datacenter Id can't be greater than %d or less than 0", maxDatacenterId));
     71             }
     72             this.workerId = workerId;
     73             this.datacenterId = datacenterId;
     74         }
     75 
     76         public long nextId()
     77         {
     78             lock (syncRoot)
     79             {
     80                 long timestamp = timeGen();
     81 
     82                 if (timestamp < lastTimestamp)
     83                 {
     84                     throw new ApplicationException(string.Format("Clock moved backwards.  Refusing to generate id for %d milliseconds", lastTimestamp - timestamp));
     85                 }
     86 
     87                 if (lastTimestamp == timestamp)
     88                 {
     89                     sequence = (sequence + 1) & sequenceMask;
     90                     if (sequence == 0)
     91                     {
     92                         timestamp = tilNextMillis(lastTimestamp);
     93                     }
     94                 }
     95                 else
     96                 {
     97                     sequence = 0L;
     98                 }
     99 
    100                 lastTimestamp = timestamp;
    101 
    102                 return ((timestamp - twepoch) << (int)timestampLeftShift) | (datacenterId << (int)datacenterIdShift) | (workerId << (int)workerIdShift) | sequence;
    103             }
    104         }
    105 
    106         protected long tilNextMillis(long lastTimestamp)
    107         {
    108             long timestamp = timeGen();
    109             while (timestamp <= lastTimestamp)
    110             {
    111                 timestamp = timeGen();
    112             }
    113             return timestamp;
    114         }
    115 
    116         protected long timeGen()
    117         {
    118             return (long)(DateTime.UtcNow - new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc)).TotalMilliseconds;
    119         }
    120     }
    Twitter全局唯一ID生成算法
     
     
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  • 原文地址:https://www.cnblogs.com/taomylife/p/6392977.html
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