Abstract: Systems and methods to reserve resources is provided. In exemplary embodiments, a selection of a profile from a user is received. A dynamic graphical user interface is generated, using one or more processors. The dynamic graphical user interface allows the user to configure a topology based on the selected profile. The dynamic graphical user interface provides input fields in which the user may select a resource. An indication of the selected applicable topology property for configuring the topology is received. A topology is automatically generating based in part on the selected applicable topology property.

Abstract: A system for intelligent request refusal in response to a network deficiency detection, in one example embodiment, comprises an aggregator to aggregate revenue generated by a requesting entity with a revenue generated by requesting entities homogenous to the requesting entity, and a filtering module to filter a response to a service request when an aggregated revenue-to-network-resource-utilization ratio is below a second threshold unless utilization of a plurality of network resources drops below a first threshold.

Abstract: Systems and methods to deploy an application are provided. In exemplary embodiments, an indication to deploy the application is received from a user. The deployment process is initiated in response to the receiving of the indication. The deployment process deploys the application on resources previously reserved for the application. The deployment process is monitored. A graphical user interface illustrating the deployment process is dynamically generated and communicated to the user.

Abstract: A system to detect a network deficiency, in one example embodiment, comprises a receiving module to receive utilization metrics of at least one network resource, wherein the utilization metrics are collected and made available at a network level, an aggregator to aggregate the utilization metrics of at least one network resource with the utilization metrics of a plurality of the network resources, a processing module to determine a level of aggregated utilization metrics of the network resources, and a detecting module to detect a precursor indicative of a network traffic deterioration based on the level of the aggregated utilization metrics.

Abstract: A system for intelligent feature degradation in response to a network deficiency detection, in one example embodiment, comprises a monitoring module to monitor a utilization of a plurality of network resources, a processing module to determine whether the utilization of the plurality of the network resources is above a threshold, to determine a category of an application level using entity, and to determine a revenue generated by the application level using entity, and a degrading module to degrade at least one application level functionality available to the using entity based on the category and the revenue generated by the application level using entity unless the utilization of the plurality of the network resources drops below the first threshold.

Abstract: Systems and methods to reserve resources is provided. In exemplary embodiments, a selection of a profile from a user is received. A dynamic graphical user interface is generated, using one or more processors. The dynamic graphical user interface allows the user to configure a topology based on the selected profile. The dynamic graphical user interface provides input fields in which the user may select a resource. An indication of the selected applicable topology property for configuring the topology is received. A topology is automatically generating based in part on the selected applicable topology property.

Abstract: Systems and methods to deploy an application are provided. In exemplary embodiments, an indication to deploy the application is received from a user. The deployment process is initiated in response to the receiving of the indication. The deployment process deploys the application on resources previously reserved for the application. The deployment process is monitored. A graphical user interface illustrating the deployment process is dynamically generated and communicated to the user.

Abstract: A system for intelligent feature degradation in response to a network deficiency detection, in one example embodiment, comprises a monitoring module to monitor a utilization of a plurality of network resources, a processing module to determine whether the utilization of the plurality of the network resources is above a threshold, to determine a category of an application level using entity, and to determine a revenue generated by the application level using entity, and a degrading module to degrade at least one application level functionality available to the using entity based on the category and the revenue generated by the application level using entity unless the utilization of the plurality of the network resources drops below the first threshold.

Abstract: A system for intelligent request refusal in response to a network deficiency detection, in one example embodiment, comprises an aggregator to aggregate revenue generated by a requesting entity with a revenue generated by requesting entities homogenous to the requesting entity, and a filtering module to filter a response to a service request when an aggregated revenue-to-network-resource-utilization ratio is below a second threshold unless utilization of a plurality of network resources drops below a first threshold.

Abstract: A system to detect a network deficiency, in one example embodiment, comprises a receiving module to receive utilization metrics of at least one network resource, wherein the utilization metrics are collected and made available at a network level, an aggregator to aggregate the utilization metrics of at least one network resource with the utilization metrics of a plurality of the network resources, a processing module to determine a level of aggregated utilization metrics of the network resources, and a detecting module to detect a precursor indicative of a network traffic deterioration based on the level of the aggregated utilization metrics.