輪詢與加權輪詢
這裡是負載均衡的常見演算法。
1 輪詢演算法(Round-Robin)
輪詢演算法是最簡單的一種負載均衡演算法。它的原理是把來自使用者的請求輪流分配給內部的伺服器:從伺服器1開始,直到伺服器N,然後重新開始迴圈。
程式碼:
// 輪詢
public Server round() {
currentIndex = (currentIndex + 1) % totalServer;
return servers.get(currentIndex);
}
其中currentindex是當前位置,totalserver是所有伺服器節點數量。
優點:簡單
缺點:各節點處理能力不同。
2. 加權輪詢演算法(WeightedRound-Robin)
輪詢演算法並沒有考慮每臺伺服器的處理能力,實際中可能並不是這種情況。由於每臺伺服器的配置、安裝的業務應用等不同,其處理能力會不一樣。所以,加權輪詢演算法的原理就是:根據伺服器的不同處理能力,給每個伺服器分配不同的權值,使其能夠接受相應權值數的服務請求。
這裡又有兩種,一種是普通加權,類似於一個數組,按權重大小排序。優先獲取大權重的節點。
缺點:是不平滑。
還有一種平滑加權輪詢實現,除依賴權重weight外,還依賴當前權重current_weight。是個可變數值。
思路:初始化時,獲取節點的大小,及節點全部權重的最大公約數gcd,最大權重數。
遍歷列表, 獲取當前權重,如果current_weight-權重最大公約數gcd<=0.則當前權重為最大權重。
判斷當前節點的權重》=當前權重,則返回對應節點,否則遍歷下一個節點。
因為是迴圈遍歷:每次從max_weight步進遞減去gcd.獲取出節點權重大於這個的節點。所以是平滑的,分佈相對均勻的。
程式碼:server類 程式碼來自:http://m635674608.iteye.com/blog/2396303
package com.daojia.math; public class Server { private String ip; private int weight; public Server(String ip) { super(); this.ip = ip; } public Server(String ip, int weight) { this.ip = ip; this.weight = weight; } public String getIp() { return ip; } public void setIp(String ip) { this.ip = ip; } public int getWeight() { return weight; } public void setWeight(int weight) { this.weight = weight; } @Override public String toString() { return "Server [ip=" + ip + ", weight=" + weight + "]"; } }
主程式碼:
package com.daojia.math;
import java.math.BigInteger;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.BrokenBarrierException;
import java.util.concurrent.CyclicBarrier;
public class WeightRoundRobin {
private List<Server> servers;
private int currentIndex;
private int totalServer;
private int currentWeight;
private int maxWeight;
private int gcdWeight;
public WeightRoundRobin() {
servers = new ArrayList<>();
servers.add(new Server("192.168.1.2", 5));
servers.add(new Server("192.168.1.3", 10));
servers.add(new Server("192.168.1.4", 15));
servers.add(new Server("192.168.1.5", 100));
servers.add(new Server("192.168.1.6", 5));
servers.add(new Server("192.168.1.7", 20));
servers.add(new Server("192.168.1.8", 30));
totalServer = servers.size();
currentIndex = totalServer - 1;
maxWeight = maxWeight();
gcdWeight = serverGcd();
}
/**
* 遍歷全部節點,從最大的權重開始取。
* 每次權重-公約數遞減。
* 如果當前權重《=0.則從迴圈從最大權重開始。
* @return
*/
public Server round() {
while (true) {
currentIndex = (currentIndex + 1) % totalServer;
if (currentIndex == 0) {
currentWeight = currentWeight - gcdWeight;
if (currentWeight <= 0) {
currentWeight = maxWeight;
if(currentWeight == 0) {
return null;
}
}
}
if(servers.get(currentIndex).getWeight() >= currentWeight) {
return servers.get(currentIndex);
}
}
}
/**
* 返回所有伺服器的權重的最大公約數
*
* @return
*/
private int serverGcd() {
int comDivisor = 0;
for (int i = 0; i < totalServer - 1; i++) {
if (comDivisor == 0) {
comDivisor = gcd(servers.get(i).getWeight(), servers.get(i + 1).getWeight());
} else {
comDivisor = gcd(comDivisor, servers.get(i + 1).getWeight());
}
}
return comDivisor;
}
/**
* 獲得伺服器中的最大權重
*
* @return
*/
private int maxWeight() {
int max = servers.get(0).getWeight();
int tmp;
for (int i = 1; i < totalServer; i++) {
tmp = servers.get(i).getWeight();
if (max < tmp) {
max = tmp;
}
}
return max;
}
/**
* 求兩個數的最大公約數 4和6最大公約數是2
*
* @param num1
* @param num2
* @return
*/
private int gcd(int num1, int num2) {
BigInteger i1 = new BigInteger(String.valueOf(num1));
BigInteger i2 = new BigInteger(String.valueOf(num2));
return i1.gcd(i2).intValue();
}
public static void main(String[] args) {
final WeightRoundRobin wr = new WeightRoundRobin();
// 非併發情況
for (int i = 0; i < 100; i++) {
System.out.println(wr.round());
}
System.out.println();
System.out.println("==========");
System.out.println();
final CyclicBarrier b = new CyclicBarrier(30);
// 併發情況
for (int i = 0; i < 30; i++) {
new Thread(new Runnable() {
@Override
public void run() {
try {
b.await();
System.out.println(Thread.currentThread().getName() + " " + wr.round());
} catch (InterruptedException | BrokenBarrierException e) {
e.printStackTrace();
}
}
}, "thread" + i).start();
}
}
}
執行結果:
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.4, weight=15]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.3, weight=10]
Server [ip=192.168.1.4, weight=15]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.2, weight=5]
Server [ip=192.168.1.3, weight=10]
Server [ip=192.168.1.4, weight=15]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.6, weight=5]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.4, weight=15]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.3, weight=10]
Server [ip=192.168.1.4, weight=15]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.2, weight=5]
Server [ip=192.168.1.3, weight=10]
Server [ip=192.168.1.4, weight=15]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.6, weight=5]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.4, weight=15]
Server [ip=192.168.1.5, weight=100]
Server [ip=192.168.1.7, weight=20]
Server [ip=192.168.1.8, weight=30]
Server [ip=192.168.1.3, weight=10]
==========
thread27 Server [ip=192.168.1.4, weight=15]
thread0 Server [ip=192.168.1.5, weight=100]
thread4 Server [ip=192.168.1.8, weight=30]
thread1 Server [ip=192.168.1.7, weight=20]
thread29 Server [ip=192.168.1.5, weight=100]
thread28 Server [ip=192.168.1.5, weight=100]
thread25 Server [ip=192.168.1.5, weight=100]
thread24 Server [ip=192.168.1.5, weight=100]
thread21 Server [ip=192.168.1.5, weight=100]
thread20 Server [ip=192.168.1.5, weight=100]
thread17 Server [ip=192.168.1.8, weight=30]
thread16 Server [ip=192.168.1.7, weight=20]
thread13 Server [ip=192.168.1.6, weight=5]
thread12 Server [ip=192.168.1.5, weight=100]
thread9 Server [ip=192.168.1.4, weight=15]
thread8 Server [ip=192.168.1.3, weight=10]
thread5 Server [ip=192.168.1.2, weight=5]
thread2 Server [ip=192.168.1.5, weight=100]
thread3 Server [ip=192.168.1.5, weight=100]
thread6 Server [ip=192.168.1.5, weight=100]
thread7 Server [ip=192.168.1.5, weight=100]
thread11 Server [ip=192.168.1.5, weight=100]
thread10 Server [ip=192.168.1.5, weight=100]
thread14 Server [ip=192.168.1.5, weight=100]
thread15 Server [ip=192.168.1.5, weight=100]
thread18 Server [ip=192.168.1.5, weight=100]
thread19 Server [ip=192.168.1.8, weight=30]
thread22 Server [ip=192.168.1.5, weight=100]
thread23 Server [ip=192.168.1.8, weight=30]
thread26 Server [ip=192.168.1.5, weight=100]
參考:http://m635674608.iteye.com/blog/2396303