. Server nodes are scattered in different locations on the Internet and have independent public IP addresses. Generally, the dedicated IP Tunnel communicates with the Server Load balancer.
Direct routing: The DR mode adopts a semi-open network structure, which is similar to that of the TUN mode. However, nodes are not scattered across regions, but are located in the same physical network as the scheduler. The server
will be the request for this service IP all directed to Dr, and Dr received the packet according to the scheduling algorithm, to find the corresponding realserver, Change the destination MAC address to Realserver's Mac and send it to this realserver? At this point, the Realserver receives this packet, it is equal to receive the packet directly from the client, the processing is returned to the client directly? Because Dr wants to change the two-layer header, So the DR and Realserver must be in
can be implemented on the primary server deployment and configuration changes will be automatically synchronized to other servers. After you finish creating the Web farm, we can configure it later in IIS. We can see the status of each Web server by clicking on the servers under each Web farm, whether it is connected properly, etc.At the same time we can click on each Web farm to manage the following functions, here we click on Mono.Configuring the Load
{@Autowiredprivate testregistryservice testregistryservice; @RequestMapping ( "/hello") public String Index (model model) { string Name=testregistryservice.hello ("zz"); System.out.println ("xx==" +name); return "";}}(3) The address we are referring to, the code is as follows: DescriptionDescriptions of some of the properties of Dubbo:reference:1) interface invocation of the service interface2) Check startup checks if provider is present, true error, false ignore3) Registry Register for
, the code is as follows:@Controllerpublic class Indexcontroller {@Autowiredprivate testregistryservice testregistryservice; @RequestMapping ( "/hello") public String Index (model model) { string Name=testregistryservice.hello ("zz"); System.out.println ("xx==" +name); return "";}}(3) The address we are referring to, the code is as follows:DescriptionDescriptions of some of the properties of Dubbo:reference:1) interface invocation of the service interface2) Check startup checks if provid
Balance", where you can choose the load balancing algorithm: Rotation scheduling, random allocation, URL parameters, request first class. If you do not know what these algorithms do, then go to review the previous article. Apr provides us with the following 7 algorithms:
Weighted round robin According to the weights according to the request data distrib
. The hardware and software packaged as an enterprise application solution to sell to customers. The deployment of such applications is simple and the hierarchy is relatively shallow. To ensure reliability, deploy one Weblogic Server on each of the two sets of small machines, using a hardware load balancer like F5 in front of the app service, as shown in.Because the minicomputer and the front
, the throughput of the cluster system is greatly improved.? VS/DR: That is (virtual server via direct Routing), that is, the use of direct routing technology to implement virtualized servers. Its connection scheduling and management is the same as in Vs/nat and Vs/tun, but its message forwarding method is different, vs/dr by overwriting the request message's MAC address, send the request to real server, and real server to return the response directly to the customer, eliminating the vs/ The IP
Balance", where you can choose the load balancing algorithm: Rotation scheduling, random allocation, URL parameters, request first class. If you do not know what these algorithms do, then go to review the previous article. Apr provides us with the following 7 algorithms:
Weighted round robin According to the weights according to the request data distrib
Balance", where you can choose the load balancing algorithm: Rotation scheduling, random allocation, URL parameters, request first class. If you do not know what these algorithms do, then go to review the previous article. Apr provides us with the following 7 algorithms:
Weighted round robin According to the weights according to the request data distrib
Linux: Round Robin algorithm, Active-Backup algorithm, MAC address XOR algorithm (MAC-XOR ). The following is a simple analysis of the three main algorithms.
3.2.1 Rotation Algorithm
The algorithm is based on the principles of fairness. It selects the sending interface for each data packet to be sent. The main idea of the algorithm is that the first data packet is sent by one interface, another data packet is sent by another interface, and the follow
Protocol shunting for outgoing link load balancing in the previous article "outgoing link load also needs intelligent DNS resolution" http://www.bkjia.com/net/201206/136614.html This section describes how to balance the distribution of carrier addresses by controlling DNS resolution to achieve link traffic balancing. I
types:
ro Roundrobin , which represents a simple pollingSTATIC-RR , which is based on the weightLeastconn , indicating that the minimum number of connections is processed firstSource , which represents the source of the request based IPRI that represents the request based on the URIRl_param that represents the URl parameter according to the requestHDR (name) , which indicates that each HTTP request is locked according to the HTTP request HeaderRdp-cookie (name) , which indicates that each TCP
it is mapped by default without any matching conditionsBackend app # define a backend part named appBalance roundrobinServer app1 192.168.3.128: 80 checkServer app2 192.168.3.129: 80 checkStats enable # enable the server status monitoring page
After the configuration is complete, restart haproxy.
Service haproxy restart
4. Test
[Root @ usvr-124 haproxy] # curl 192.168.3.124/1.html
Hello, 192.168.3.129
[Root @ usvr-124 haproxy] # curl 192.168.3.124/1.html
Hello, 192.168.3.128
From this we can se
strategy from the point of view of source, take the actual industrial production as a case, compare each load balance strategy, provide reference for Nginx users.
In this section, we'll talk about the problems encountered after using Nginx load Balancing: Session problem file upload download
Typically, server load pro
, the user's local computer caches the resolved domain name-to-IP-address mappings. When multiple user computers cache the mapping of a domain name to an IP address, and those users continue to access the Web page under that domain name, this can also result in uneven load distribution for different Web server parts.The possible consequences of a load imbalance are the low
/weight of each back end, and select the backend with the lowest value. If there are multiple back-end conns/weight values with the same minimum, then the weighted polling algorithm is used for them.What is load balancingWe know that the performance of a single server is capped, when the traffic is very large, you need to use multiple servers to provide services together, this is called the cluster.A load b
Original http://nginx.org/en/docs/http/load_balancing.html
This article is translated according to your own understanding
Load Balancing among multiple applications is a commonly used technology to improve resource utilization, increase server throughput, reduce latency, and ensure application fault tolerance. Nginx can serve as an efficient HTTP Load balancer to
. The hardware and software packaged as an enterprise application solution to sell to customers. The deployment of such applications is simple and the hierarchy is relatively shallow. To ensure reliability, deploy one Weblogic Server on each of the two sets of small machines, using a hardware load balancer like F5 in front of the app service, as shown in.Because the minicomputer and the front
Options list box. This allows the client to access the Web server in the notebook each time.
When the above settings are completed, the DNS server realizes the Network Load Balancing function, the client's access is shared on each Web server, and the network traffic across the subnet is reduced, which greatly reduces the communication burden of the enterprise network.
Full version:
Now the scale of the
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