Cloud Foundry platform system comprising at least: a Cloud controller, a Service Broker, a Service Backend constituted by several Service instances, each linked to at least one Application, in a Droplet Execution Agent pool (DEA pool), a Graphic User Interface (GUI) and a platform diagnostic coupled with probes providing information on the recourses status of the system wherein the hardware and software arrangement forming the Graphic User Interface comprising a set of personalized activated interface cellules which can be manipulated by the user, and each can generate after their activation a piece of specific instruction, each specific instructions will be combined by the Graphic User Interface and transited to the Cloud controller using a routine and according to the resources available determined by the platform diagnostic, in a command, which replace the regular command entered by the user in a Command Line Interface.

A network device predicts end-to-end channel capacity entropy to permit use of optimal throughput settings in a network. The network device stores class definitions for a network condition; identifies multiple input features to correlate with the class definitions; generates a multiclass classification model that produces an importance score for each of the multiple input features, wherein the importance score reflects the contribution of an input feature to the network condition; selects two or more of the multiple input features with highest importance scores as influential features; predicts the behavior of the influential features to identify a current class, from the class definitions, for the network condition over an end-to-end communication channel; and sends an estimated network condition, based on the current class, to a device for traffic optimization.

Cloud Foundry platform system comprising at least: a Cloud controller, a Service Broker, a Service Backend constituted by several Service instances, each linked to at least one Application, in a Droplet Execution Agent pool (DEA pool), a Graphic User Interface (GUI) and a platform diagnostic coupled with probes providing information on the recourses status of the system wherein the hardware and software arrangement forming the Graphic User Interface comprising a set of personalized activated interface cellules which can be manipulated by the user, and each can generate after their activation a piece of specific instruction, each specific instructions will be combined by the Graphic User Interface and transited to the Cloud controller using a routine and according to the resources available determined by the platform diagnostic, in a command, which replace the regular command entered by the user in a Command Line Interface.

A network device predicts end-to-end channel capacity entropy to permit use of optimal throughput settings in a network. The network device stores class definitions for a network condition; identifies multiple input features to correlate with the class definitions; generates a multiclass classification model that produces an importance score for each of the multiple input features, wherein the importance score reflects the contribution of an input feature to the network condition; selects two or more of the multiple input features with highest importance scores as influential features; predicts the behavior of the influential features to identify a current class, from the class definitions, for the network condition over an end-to-end communication channel; and sends an estimated network condition, based on the current class, to a device for traffic optimization.