f5 load balancing algorithms

1. Random algorithm:the load balancing method randomly assigns the load to each available server, selects a server by the random number generation algorithm, and sends the connection to it. the same request will fall to machine A, a will fall on machine B, the cache will be frequently eliminated, so that the cache hit rate is low. 2. Polling algorithm:The polling

Load balancing algorithms can be divided into two categories: Static load Balancing algorithm, server-based capacity, is a high-configuration server than the low-provisioned server to allocate more requests, dynamic load

Basic load balancingAlgorithm, Mainly including the following (refer to F5 products ): Random: The Load Balancing Method Randomly distributes the load to each available server, selects a server through the random number generation algorithm, and sends the connection

server list is not changed.4. Weighted round-robin methodDifferent back-end servers may not have the same machine configuration and current system load, so they have varying compression capabilities. Configure a high, low-load machine with higher weights to handle more requests, and configure low, high-load machines, assign them lower weights, lower their system

Load balancing, the cluster must be mastered, the following describes several algorithms of load balancing.1, polling, that is, all requests are distributed once on the server, each server processing requests are the same, suitable for the same computer hardware.2. Weighted

The main load balancing algorithms are useful in Nginx, the following article on these algorithms introduced in more detail, please refer to. http://baidutech.blog.51cto.com/4114344/1033718 The paper mentions several common software load

: #ipvsadm -a -t 172.16 .100 .1 : 80 -r 192.168 .10 .9 -m 5. View-L|l[options]-n:数字格式显示主机地址和port号--stats:统计信息--rate:速率--timeout：显示tcp、tcpfin和udp会话的超时时间值--daemon--sort：跟协议、地址、port进行排序，默觉得升序-c：显示当前ipvs连接状况6. Remove all cluster Services: -C：清空ipvs规则7. Save the Rules-S：（用输出重定向进行保存）格式：`#ipvsadm -s >/path/to/somefile`8. Load the previous rule:-R格式：`#ipvsadm -R View Original Original works, agreed to reprint, please be sure to use hyperl

ip）每个请求按访问ip的hash结果分配，这样每个访客固定访问一个后端服务器，可以解决session的问题。Upstream favresin{Ip_hash;Server 10.0.0.10:8080;Server 10.0.0.11:8080;}fair（第三方）按后端服务器的响应时间来分配请求，响应时间短的优先分配。与weight分配策略类似。Upstream favresin{Server 10.0.0.10:8080;Server 10.0.0.11:8080;Fair}Url_hash (third Party)Assign requests by the hash result of the access URL so that each URL is directed to the same back-end server, which is more efficient when the backend server is cached.Note: In upstream the hash statement is added, the server stateme

restart 查看lvs-master日志：在浏览器里面访问 http://192.168.2.218/ 即可！当你宕掉lvs-master后，lvs-backup会接管变成lvs-master提供服务，当lvs-master故障恢复后，lvs-backup又会变成原来的状态！4. Practical advice-brain fissure为了解决脑裂问题，需要把主MASTER和备BACKUP各自的keepalived.conf配置文件里面的state 状态都改成BACKUP，优先级分别设置100和90。我们常听说脑裂问题，到底什么是脑裂问题呢？在集群配置中的split-brain现象是指，主从之间互相检测不到心跳，同时抢占资源，导致服务无法正常访问的情况。所以我们还需要在主备keepalived.conf添加nopreempt 指令！Attached realserver.sh script file: Excerpt from (Wu Guangko teacher about lvs+keepalived High Availability

Load balancing, the cluster must be mastered, the following describes several algorithms of load balancing.1, polling, that is, all requests are distributed once on the server, each server processing requests are the same, suitable for the same computer hardware.2. Weighted

(ienumerableweightobjects) {list. AddRange (weightobjects); Totalweight= list. Select (w =w.weight). Sum (); Random=NewRandom (); } PublicT Balance () {intr = Random. Next (totalweight) +1; intWeight =0; foreach(varIteminchlist) {Weight+=item. Weight; if(weight>=r) {returnitem. Activator (); } } returnlist[0]. Activator ();// } }The above two methods can achieve a simple equalization algo

I. SummaryAs the system becomes larger and more complex, the system architecture is developed from the original single system to the vertical system to the present distributed system. In the distributed system, the public service module can be high availability, high fault tolerance, high scalability, however, when the system becomes more and more complex, things need to be considered more and more naturally, the requirements are more and more high, such as service routing,

[Article Zhang Feast this article version: v1.0 last modified: 2008.05.22 reproduced Please specify from: HTTP://BLOG.S135.COM/F5_BIG_IP]In the recent comparison of testing the performance of F5 big-IP and Citrix NetScaler load balancers, write this article to document the common application configuration methods for F5 big-IP.Currently, many vendors have launche

F5 BIG-IP Server Load balancer configuration instance and Web Management Interface experience [original] Big | medium | small [| by banquet] [Author: Zhang banquet this article version: V1.0 last modified: for more information, see http://blog.s135.com/f5_big_ip]. Recently, the performance of F5 BIG-IP and Citrix NetScaler L