{"id":608,"date":"2011-12-05T10:20:12","date_gmt":"2011-12-05T10:20:12","guid":{"rendered":"https:\/\/fir3netwp.gmsrrpobkbd.com\/2011\/12\/05\/brocade-adx-loadbalancing-methods\/"},"modified":"2021-07-24T18:23:29","modified_gmt":"2021-07-24T18:23:29","slug":"brocade-adx-loadbalancing-methods","status":"publish","type":"post","link":"https:\/\/www.fir3net.com\/Loadbalancers\/Brocade\/brocade-adx-loadbalancing-methods.html","title":{"rendered":"Brocade ADX – LoadBalancing Methods"},"content":{"rendered":"
The Brocade ADX has a number of Load Balancing methods available. These are also known as predictors.<\/p>\n
Predictors can be assigned on a global level or on a per virtual server basis. Below shows the syntax: Below explains the various available predictor types:<\/p>\n Least Connections<\/strong> – The Brocade ADX sends the request to the real server that has the lowest total of active connections. The Brocade ADX has a number of Load Balancing methods available. These are also known as predictors. Assignment Predictors can be assigned on a global level or on a per virtual server basis. Below shows the syntax:global – server predictor [BALANCING METHOD]virtual server – server [BALANCING METHOD] Types Below explains the various available … Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"yoast_head":"\n
<\/strong>
global – server predictor [BALANCING METHOD]<\/span><\/strong>
virtual server – server [BALANCING METHOD]<\/span><\/p>\nTypes<\/strong><\/h3>\n
Round Robin<\/strong> – Each request is sent to the next real server. i.e Request 1 to RealServer1, Request 2 to RealServer2, Request 1 to RealServer1, Request 2 to RealServer2 and so on.
Weighted Round Robin<\/strong> – Metrics are assigned to each real server. Traffic is then distributed in a round robin fashion based on these metrics.
Example : Server A has a weight of 5 and Server B has weight of 7.
5 Connections would be sent to each server via a round robin basis and the final 2 would be sent to the second server.
Weighted<\/strong> – Each server is given a weight. Traffic is then distributed based on these weights.
Example : Total servers weight = 100 ; Server 1 has a weight of 10 so will get 10\/100 of connections.
With the weighted predictor the full share of connections is sent to each real server sequentially i.e Server 1 gets the first 10 connections and so on.
Enhanced Weighted<\/strong> – Same as weighted but each servers connection share is distributed to each node on a per connection basis
Example : The server with the highest weight will receive the 1st connections, the server with the second highest weight will receive the next and so on.
Dynamic Weighted Predictor<\/strong> – Traffic is distributed using real time information (such as CPU, memory etc) which is retrieved via SNMP.
Dynamic-weighted Direct<\/strong> – Each SNMP response is assigned as a direct weight to each server. The server with the highest weight receives the higher percentage of connections.
Dynamic-weighted Reverse<\/strong> – Same as Direct by the server with the lowest weight receives the higher percentage of connections.<\/p>\n","protected":false},"excerpt":{"rendered":"