Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: A processing system having at least one processor may obtain a feature set from a camera frame of a client device, perform a feature reduction of the feature set to produce a reduced feature set, generate a compressed representation from the reduced feature set, compare the compressed representation of the reduced feature set to a plurality of compressed representations of known objects stored in one or more hash tables to identify an object in the camera frame, and provide an identification of the object to the client device.

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. It may perform continuous learning of impact using emulations under varying conditions and may take a statistical and machine learning based analysis approach on the data obtained from emulations. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: A system may assist with checking policy impact in a software-defined infrastructure environment. The system's data analysis may enable it to discover and quantify the impact of policies on software-defined infrastructure objects in the same or different layers.

Abstract: A processing system having at least one processor may obtain a feature set from a camera frame of a client device, perform a feature reduction of the feature set to produce a reduced feature set, generate a compressed representation from the reduced feature set, compare the compressed representation of the reduced feature set to a plurality of compressed representations of known objects stored in one or more hash tables to identify an object in the camera frame, and provide an identification of the object to the client device.

Abstract: Systems, computer-readable media, and methods are disclosed for parallel data processing for service function chains with network functions spanning multiple servers. An example system includes a first server hosting a first network function of a service function chain, a second server hosting a second network function of the service function chain, a mirror function deployed in a first switch to replicate a plurality of packets received by the system and to send respective copies of the plurality of packets to the first network function and to at least one of the second network function and a third network function of the service function chain, and a merge function deployed in a second switch to merge respective outputs of the first network function and the at least one of the second network function and the third network function.

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: A framework in a cloud network that may allow for debugging at multiple vantage points at different layers (e.g., layer 2, layer 3, etc.). The methods may provide tracer or measurement services that filter, capture, or forward flows that may include packets, calls, or protocols to look for particular signatures.

Abstract: The concepts and technologies disclosed herein are directed to parallelism for virtual network functions (“VNFs”) in service function chains (“SFCs”). According to one aspect, a packet processing system can receive instructions to process, in parallel, at least a portion of a plurality of data packets associated with an SFC including a plurality of VNFs. The system can create a copy of at least the portion of the data packets. The system can send the copy of at least the portion of the data packets to at least two VNFs. The at least two VNFs can process, in parallel, the copy of at least the portion of the data packets. The system can receive, from the at least two VNFs, processed packets including the copy of at least the portion of the data packets and processed, in parallel, by the at least two VNFs. The system can combine the processed packets.

Abstract: Network function may be dissected and the common functions abstracted into inspection network function as the first hop, for example, of a service function chain. The inspection network function then inserts a value into the network service header (NSH) which may be used for the rest of the network functions of the service function chain.

Abstract: A framework in a cloud network that may allow for debugging at multiple vantage points at different layers (e.g., layer 2, layer 3, etc.). The methods may provide tracer or measurement services that filter, capture, or forward flows that may include packets, calls, or protocols to look for particular signatures.

Abstract: The concepts and technologies disclosed herein are directed to parallelism for virtual network functions (“VNFs”) in service function chains (“SFCs”). According to one aspect, a packet processing system can receive instructions to process, in parallel, at least a portion of a plurality of data packets associated with an SFC including a plurality of VNFs. The system can create a copy of at least the portion of the data packets. The system can send the copy of at least the portion of the data packets to at least two VNFs. The at least two VNFs can process, in parallel, the copy of at least the portion of the data packets. The system can receive, from the at least two VNFs, processed packets including the copy of at least the portion of the data packets and processed, in parallel, by the at least two VNFs. The system can combine the processed packets.

Abstract: The concepts and technologies disclosed herein are directed to parallelism for virtual network functions (“VNFs”) in service function chains (“SFCs”). According to one aspect, a packet processing system can receive instructions to process, in parallel, at least a portion of a plurality of data packets associated with a SFC including a plurality of VNFs. The system can create a copy of at least the portion of the data packets. The system can send the copy of at least the portion of the data packets to at least two VNFs. The at least two VNFs can process, in parallel, the copy of at least the portion of the data packets. The system can receive, from the at least two VNFs, processed packets including the copy of at least the portion of the data packets and processed, in parallel, by the at least two VNFs. The system can combine the processed packets.

Abstract: A framework in a cloud network that may allow for debugging at multiple vantage points at different layers (e.g., layer 2, layer 3, etc.). The methods may provide tracer or measurement services that filter, capture, or forward flows that may include packets, calls, or protocols to look for particular signatures.

Abstract: A framework in a cloud network that may allow for debugging at multiple vantage points at different layers (e.g., layer 2, layer 3, etc.). The methods may provide tracer or measurement services that filter, capture, or forward flows that may include packets, calls, or protocols to look for particular signatures.