. Request Routing decisions made based on HTTP requests
Unlike Hardware load balancing (the Request Routing Method is determined at the OSI model's IP layer), ARR performs Load Balancing Based on the application layer, because more information is available at the application layer (in fact, it is necessary to clarify the principle of Server
load balancing is mainly through the server node to install the device specifically for load balancing, such as F5, and software load balancing is to complete the request distribution work by installing some software with load balancing function or module on the server, suc
When it comes to the Web cluster, we can't help but say that LVs is a very good open source software for load cluster, compared with some hardware load, LVS has many excellent performance, such as cheap, stable, support high concurrency scenarios in most cases, below to tell you about the origin of LVS and basic introductionI. The concept of LVSLVS is the abbrevi
traffic/crawling network traffic with Web caching btbtd
Practices for dynamic network load balancing clusters 2004-10-01 www_307
Build a high-availability cluster (HA)
Dual-machine Hot Standby Hardware Solution for Cabinet--youkangstrong
Layer-4 and layer-7 Switching
Cisco fast forward Technology and Its Use iiprogram
Server Load
Now the trend of Web site development to the use of Network Load balancing with the increase of the size of the site according to different stages to use different technologies: 1. Hardware-level load balancing
This load balancing is done through hardware, and common
=" 3-11 Verify the access assignment of the reverse proxy server with weighted weights. png "alt=" Wkiom1jp86tahy1jaab1yyhugqu548.png "/>650) this.width=650; "src=" Https://s1.51cto.com/wyfs02/M01/8E/F5/wKioL1jP86SDRQ_vAAC1aMM3ezI969.png "style=" float : none; the "title=" 3-12 setting dispatches access requests in a ip_hash manner. png "alt=" Wkiol1jp86sdrq_vaac1amm3ezi969.png "/>Four, Nginx reverse proxy + three WEB+NFS shared storage for cluster co
Build a Server Load balancer cluster with LVS in Linux
Common open-source load balancing software: nginx, lvs, and keepalivedCommercial Hardware load equipment: F5, Netscale1. Introduction to LB and LVSLB clusters are short for
, its processing capability and computing strength also increase accordingly, making it impossible for a single server device. In this case, if you discard the existing device to perform a large number of hardware upgrades, this will cause a waste of existing resources, and if you face the next increase in business volume, this will lead to a high cost investment for another hardware upgrade, and even devic
-machine interoperability" and so on.2. Load Balancer cluster (load Balance Cluster)LBProvides a load capacity that is proportional to the number of nodes, which is suitable for services that need to provide heavy load traffic, such as the web. The more famous of these clust
concept of clustering , which I call the group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the load balancer distributes the load to the machine that is down when there is an outage. this solves t
group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the load balancer distributes the load to the machine that is down when there is an outage. This solves the problem of fault tolerance.As shown, t
test. Of course, there is always a solution to the problem. We introduce the concept of clustering , which I call group, that is, each node of the library we introduce multiple machines, each machine holds the same data, in general, many of these machines load, when there is a downtime situation, The load balancer allocates the
I used nginx to implement the website load balancing test. In windows, IIS performs load measurement.
If your website traffic (pv) is getting higher and higher, and one server is no longer able to withstand the traffic pressure, increase the number of WEB servers for load.
Website load can be achieved by buying
with our solution, and fault-tolerant performance is not a test. Of course, there is always a solution to the problem. We introduce the concept of clustering, which I call the Group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the load balancer
Some time recently, we started touching on load balancing, from hardware F5 to Citrix Netscalar. However, because the hardware configuration is not complicated, but the expensive price also makes the general user prohibitive (a hundred thousand of to hundreds of thousands of), so can only turn to nginx,squid this kind
request is sent, and then send the request to the server.
Client-Based Load Balancing features:
Implemented by the internal program of the client, without the need for additional hardware and software investment of the Server Load balancer.
The program must solve the problem of Service Server unavailability, And th
Currently, F5 type dedicated server Load balancer is the most widely used Server Load balancer device in the data center. You may learn more about Server Load balancer by focusing on DN
group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the load balancer distributes the load to the machine that is down when there is an outage. This solves the problem of fault tolerance.As shown, t
course, there is always a solution to the problem. We introduce the concept of clustering , which I call the group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the load balancer distributes the load
are very serious. In other words, there is still a problem with our solution, and fault-tolerant performance is not a test. Of course, there is always a solution to the problem. We introduce the concept of clustering , which I call the group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the loa
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