- Use weka to predict feature of the network
- Add REST interface to get more features from the controller
URL | METHOD | Output | Description |
---|---|---|---|
/wm/controller/topology | GET/POST | dot/json | Output a graph in dot |
/wm/controller/topology/create | GET | bool | Force the update/rebuild of the network graph |
/wm/controller/topology/timeout | GET/POST | void | Change the timeout of rebuild the network topology. Pass the ms w/ the POST request |
/wm/controller/prediction/{stat}/json | GET | json | stat: all or dpid of a switch. Return the prediction info for the switches |
/wm/controller/prediction/{dpid}/reload | GET/POST | json | Force the reload of the classifier for a switch. With POST we set the index of which classifier reload |
/wm/controller/info/mongoDB | GET/POST | json | Get/Set IP and PORT of mongoDB connection |
/wm/controller/prediction/{dpid}/dataset | GET/POST | json | dpid: all or dpid of a switch. Get/Set features for the dataset |
/wm/controller/prediction/{dpid}/{type}/execute | GET | json | dpid: all or dpid of a switch. type: class or index to get the class name or the index. Get the prediction of the load af a node |
/wm/controller/prediction/{dpid}/{type}/execute/all | GET | json | dpid: all or dpid of a switch. type: class or index to get list of class names or indexs from all classifiers attached to that node. |
/wm/controller/behaviour/time | GET/POST | json | Change the timeout of the apply of the behaviours. Pass the ms w/ the POST request |
For more information about the original project, please visit: http://github.com/floodlight/ |
curl -s http://localhost:8080/wm/controller/topology -d '{ "type" : "json" }'
curl -s http://localhost:8080/wm/controller/topology -d '{ "type" : "dot" }'
curl -s http://localhost:8080/wm/controller/topology/timeout -d '{ "time" : "300" }'
##/wm/controller/prediction/{dpid}/reload
curl -s http://localhost:8080/wm/controller/prediction/00:00:00:00:00:00:00:02/reload -d '{ "index" : "4" }'
curl -s http://localhost:8080/wm/controller/info/mongoDB -d '{ "ip" : "127.0.0.1" , "port" : "27071" }'
curl -s http://localhost:8080/wm/controller/prediction/all/dataset -d '[ { "dpid" : "00:00:00:00:00:00:00:02", "lags" : "8", "derivative" : "false", "classSize" : "800" } , { "dpid" : "00:00:00:00:00:00:00:01", "lags" : "10", "derivative" : "false", "classSize" : "1000" }]'
curl -s http://localhost:8080/wm/controller/prediction/00:00:00:00:00:00:00:02/dataset -d '{ "lags" : "8", "derivative" : "false", "classSize" : "800" }'
curl -s http://localhost:8080/wm/controller/prediction/all/index/execute
curl -s http://localhost:8080/wm/controller/prediction/00:00:00:00:00:00:00:01/class/execute
curl -s http://localhost:8080/wm/controller/behaviour/time -d '{ "time" : "300" }'
curl -s http://localhost:8080/wm/controller/behaviour/time