基于java的负载均衡算法解析及源码分享

基于java的负载均衡算法解析及源码分享,第1张

  负载:就是后端系统的承载能力。比如同等条件下,一个1核cpu-1G内存的机器的承载能力一般会比8核cpu-8G内存的机器要差;相同配置下,一个cpu利用率为80%的机器比30%的承载能力一般要差等等。

  均衡:保证后端请求的平衡。比如:在同等情况下,分配到多台机器的请求要相当;有些情况下,同一用户尽可能分配到同一台机器等等。

  负载均衡的算法实际上就是解决跨系统调用的时候,在考虑后端机器承载情况的前提下,保证请求分配的平衡和合理。下面是基于java负载均衡算法解析及源码,以供参考。

1、轮询:

package class2.zookeeper.loadbalance;

import java.uTIl.ArrayList;

import java.uTIl.HashMap;

import java.uTIl.Map;

import java.uTIl.Set;

/**

* 负载均衡算法,轮询法

* @author guoy

*

*/

public class TestRoundRobin {

static Map《String,Integer》 serverWeigthMap = new HashMap《String,Integer》();

static{

serverWeigthMap.put(“192.168.1.12”, 1);

serverWeigthMap.put(“192.168.1.13”, 1);

serverWeigthMap.put(“192.168.1.14”, 2);

serverWeigthMap.put(“192.168.1.15”, 2);

serverWeigthMap.put(“192.168.1.16”, 3);

serverWeigthMap.put(“192.168.1.17”, 3);

serverWeigthMap.put(“192.168.1.18”, 1);

serverWeigthMap.put(“192.168.1.19”, 2);

}

Integer pos = 0;

public String roundRobin()

{

//重新建立一个map,避免出现由于服务器上线和下线导致的并发问题

Map《String,Integer》 serverMap = new HashMap《String,Integer》();

serverMap.putAll(serverWeigthMap);

//获取ip列表list

Set《String》 keySet = serverMap.keySet();

ArrayList《String》 keyList = new ArrayList《String》();

keyList.addAll(keySet);

String server = null;

synchronized (pos) {

if(pos 》=keySet.size()){

pos = 0;

}

server = keyList.get(pos);

pos ++;

}

return server;

}

public static void main(String[] args) {

TestRoundRobin robin = new TestRoundRobin();

for (int i = 0; i 《 20; i++) {

String serverIp = robin.roundRobin();

System.out.println(serverIp);

}

}

}

2、加权轮询:

package class2.zookeeper.loadbalance;

import java.util.ArrayList;

import java.util.HashMap;

import java.util.Iterator;

import java.util.List;

import java.util.Map;

import java.util.Random;

import java.util.Set;

/**

* 加权随机载均衡算法

* @author guoy

*

*/

public class TestWeightRandom {

static Map《String,Integer》 serverWeigthMap = new HashMap《String,Integer》();

static{

serverWeigthMap.put(“192.168.1.12”, 1);

serverWeigthMap.put(“192.168.1.13”, 1);

serverWeigthMap.put(“192.168.1.14”, 2);

serverWeigthMap.put(“192.168.1.15”, 2);

serverWeigthMap.put(“192.168.1.16”, 3);

serverWeigthMap.put(“192.168.1.17”, 3);

serverWeigthMap.put(“192.168.1.18”, 1);

serverWeigthMap.put(“192.168.1.19”, 2);

}

public static String weightRandom()

{

//重新建立一个map,避免出现由于服务器上线和下线导致的并发问题

Map《String,Integer》 serverMap = new HashMap《String,Integer》();

serverMap.putAll(serverWeigthMap);

//获取ip列表list

Set《String》 keySet = serverMap.keySet();

Iterator《String》 it = keySet.iterator();

List《String》 serverList = new ArrayList《String》();

while (it.hasNext()) {

String server = it.next();

Integer weight = serverMap.get(server);

for (int i = 0; i 《 weight; i++) {

serverList.add(server);

}

}

Random random = new Random();

int randomPos = random.nextInt(serverList.size());

String server = serverList.get(randomPos);

return server;

}

public static void main(String[] args) {

String serverIp = weightRandom();

System.out.println(serverIp);

}

}

3、随机:

package class2.zookeeper.loadbalance;

import java.util.ArrayList;

import java.util.HashMap;

import java.util.Map;

import java.util.Random;

import java.util.Set;

/**

* 随机负载均衡算法

* @author guoy

*

*/

public class TestRandom {

static Map《String,Integer》 serverWeigthMap = new HashMap《String,Integer》();

static{

serverWeigthMap.put(“192.168.1.12”, 1);

serverWeigthMap.put(“192.168.1.13”, 1);

serverWeigthMap.put(“192.168.1.14”, 2);

serverWeigthMap.put(“192.168.1.15”, 2);

serverWeigthMap.put(“192.168.1.16”, 3);

serverWeigthMap.put(“192.168.1.17”, 3);

serverWeigthMap.put(“192.168.1.18”, 1);

serverWeigthMap.put(“192.168.1.19”, 2);

}

public static String random()

{

//重新建立一个map,避免出现由于服务器上线和下线导致的并发问题

Map《String,Integer》 serverMap = new HashMap《String,Integer》();

serverMap.putAll(serverWeigthMap);

//获取ip列表list

Set《String》 keySet = serverMap.keySet();

ArrayList《String》 keyList = new ArrayList《String》();

keyList.addAll(keySet);

Random random = new Random();

int randomPos = random.nextInt(keyList.size());

String server = keyList.get(randomPos);

return server;

}

public static void main(String[] args) {

String serverIp = random();

System.out.println(serverIp);

}

}

4、加权随机:

package class2.zookeeper.loadbalance;

import java.util.ArrayList;

import java.util.HashMap;

import java.util.Iterator;

import java.util.List;

import java.util.Map;

import java.util.Random;

import java.util.Set;

/**

* 加权随机载均衡算法

* @author guoy

*

*/

public class TestWeightRandom {

static Map《String,Integer》 serverWeigthMap = new HashMap《String,Integer》();

static{

serverWeigthMap.put(“192.168.1.12”, 1);

serverWeigthMap.put(“192.168.1.13”, 1);

serverWeigthMap.put(“192.168.1.14”, 2);

serverWeigthMap.put(“192.168.1.15”, 2);

serverWeigthMap.put(“192.168.1.16”, 3);

serverWeigthMap.put(“192.168.1.17”, 3);

serverWeigthMap.put(“192.168.1.18”, 1);

serverWeigthMap.put(“192.168.1.19”, 2);

}

public static String weightRandom()

{

//重新建立一个map,避免出现由于服务器上线和下线导致的并发问题

Map《String,Integer》 serverMap = new HashMap《String,Integer》();

serverMap.putAll(serverWeigthMap);

//获取ip列表list

Set《String》 keySet = serverMap.keySet();

Iterator《String》 it = keySet.iterator();

List《String》 serverList = new ArrayList《String》();

while (it.hasNext()) {

String server = it.next();

Integer weight = serverMap.get(server);

for (int i = 0; i 《 weight; i++) {

serverList.add(server);

}

}

Random random = new Random();

int randomPos = random.nextInt(serverList.size());

String server = serverList.get(randomPos);

return server;

}

public static void main(String[] args) {

String serverIp = weightRandom();

System.out.println(serverIp);

}

}

5、ip hash:

package class2.zookeeper.loadbalance;

import java.util.ArrayList;

import java.util.HashMap;

import java.util.Map;

import java.util.Set;

/**

* 负载均衡 ip_hash算法

* @author guoy

*

*/

public class TestIpHash {

static Map《String,Integer》 serverWeigthMap = new HashMap《String,Integer》();

static{

serverWeigthMap.put(“192.168.1.12”, 1);

serverWeigthMap.put(“192.168.1.13”, 1);

serverWeigthMap.put(“192.168.1.14”, 2);

serverWeigthMap.put(“192.168.1.15”, 2);

serverWeigthMap.put(“192.168.1.16”, 3);

serverWeigthMap.put(“192.168.1.17”, 3);

serverWeigthMap.put(“192.168.1.18”, 1);

serverWeigthMap.put(“192.168.1.19”, 2);

}

/**

* 获取请求服务器地址

* @param remoteIp 负载均衡服务器ip

* @return

*/

public static String ipHash(String remoteIp)

{

//重新建立一个map,避免出现由于服务器上线和下线导致的并发问题

Map《String,Integer》 serverMap = new HashMap《String,Integer》();

serverMap.putAll(serverWeigthMap);

//获取ip列表list

Set《String》 keySet = serverMap.keySet();

ArrayList《String》 keyList = new ArrayList《String》();

keyList.addAll(keySet);

int hashCode =remoteIp.hashCode();

int serverListSize = keyList.size();

int serverPos = hashCode % serverListSize;

return keyList.get(serverPos);

}

public static void main(String[] args) {

String serverIp = ipHash(“192.168.1.12”);

System.out.println(serverIp);

}

}

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原文地址: https://outofmemory.cn/dianzi/2718088.html

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