Abstract: Some embodiments provide a method for a network controller. The method receives configuration data, for a logical router managed by the network controller, that specifies at least one logical port for the logical router. The method automatically generates connected routes for the logical router based on network address ranges specified for the logical ports of the logical router. The method receives a manually input static route for the logical router. The method generates data tuples, for distribution to several managed network elements, based on the connected and static routes for the logical router in order for the several managed network elements to implement the logical router.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Some embodiments provide a method for a network controller. The method receives configuration data, for a logical router managed by the network controller, that specifies at least one logical port for the logical router. The method automatically generates connected routes for the logical router based on network address ranges specified for the logical ports of the logical router. The method receives a manually input static route for the logical router. The method generates data tuples, for distribution to several managed network elements, based on the connected and static routes for the logical router in order for the several managed network elements to implement the logical router.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Some embodiments provide a network controller for managing a logical network implemented across several managed network elements. The logical network includes at least one logical router. The network controller includes an input interface for receiving configuration state for the logical router. The network controller includes a table mapping engine for generating data tuples for distribution to the managed network elements in order for the managed network elements to implement the logical router. The network controller includes a route processing engine for receiving a set of input routes from the table mapping engine based on the configuration state for the logical router, performing a recursive route traversal process to generate a set of output routes, and returning the set of output routes to the table mapping engine. The table mapping engine uses the set of output routes to generate the data tuples for distribution to the plurality of managed network elements.

Abstract: Systems and methods for recognizing 3-D human motions are described. In some embodiments, the present disclosure contemplates a variety of methods and systems for recognizing a 3-D motion on 2-D planes. The 3-D human motions may include, but is not limited to, kinematic based gestures, such as clapping, spell casting, security gestures, etc.

Abstract: Some embodiments provide a network controller for managing a logical network implemented across several managed network elements. The logical network includes at least one logical router. The network controller includes an input interface for receiving configuration state for the logical router. The network controller includes a table mapping engine for generating data tuples for distribution to the managed network elements in order for the managed network elements to implement the logical router. The network controller includes a route processing engine for receiving a set of input routes from the table mapping engine based on the configuration state for the logical router, performing a recursive route traversal process to generate a set of output routes, and returning the set of output routes to the table mapping engine. The table mapping engine uses the set of output routes to generate the data tuples for distribution to the plurality of managed network elements.

Abstract: Systems and methods for recognizing human gestures are disclosed. In one embodiment, a method for recognizing a gesture made by an operator with a portable device, may comprise: obtaining a first sensor data profile associated with measurements made by the first sensor while the operator made a specific gesture involving the portable device; obtaining a second sensor data profile associated with measurements made by the second sensor while the operator made the specific gesture involving the portable device; and identifying the specific gesture by analyzing the first sensor data profile and the second sensor data profile.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Systems and methods for recognizing 3-D human motions are described. In some embodiments, the present disclosure contemplates a variety of methods and systems for recognizing a 3-D motion on 2-D planes. The 3-D human motions may include, but is not limited to, kinematic based gestures, such as clapping, spell casting, security gestures, etc.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Systems and methods for recognizing human gestures are disclosed. In one embodiment, a method for recognizing a gesture made by an operator with a portable device, may comprise: obtaining a first sensor data profile associated with measurements made by the first sensor while the operator made a specific gesture involving the portable device; obtaining a second sensor data profile associated with measurements made by the second sensor while the operator made the specific gesture involving the portable device; and identifying the specific gesture by analyzing the first sensor data profile and the second sensor data profile.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.

Abstract: Resource-aware dynamic bandwidth control uses information about current network state and receiver performance to avoid, minimize and/or recover from the effects of network spikes and data processing spikes. Linear models may be used to estimate a time required to process data packets in a data processing queue, and are thus useful to determine whether a data processing spike is occurring. When a data processing spike occurs, an alarm may be sent from a client to a server notifying the server that the client must drop packets. In response, the server can encode and transmit an independent packet suitable for replacing the queued data packets which can then be dropped by the client and the independent packet present to the processor instead.