At&t Intellectual Property I, L.p.

University of Minnesota

University of Utah Research Foundation

Harvard College

The Hong Kong University of Science and Technology

Muhammad Bilal Anwer

Vijay Gopalakrishnan

Bo Han

Zhi-Li Zhang

Yang Zhang

Jacobus Erasmus Van Der Merwe

Byoung-Jo J Kim

Yang Xu

Aman M Shaikh

Aisha Syed

Joshua Reich

Rakesh Sinha

Pan Hui

Yuliang Li

Pramod Jamkhedkar

Kostas Oikonomou

Wenxiao Zhang

Minlan Yu

Bingzhe Liu

Junzhi Gong

Systems and methods are disclosed for parallelizing service function chains. A method comprises receiving a sequential service function chain comprising a plurality of network functions, receiving a plurality of operations, determining at least two network functions are capable of being parallelized, aggregating operations of the plurality of operations associated with the at least two network functions into a network function segment, determining whether another network function is capable of being parallelized with the network function segment, based on the determining: aggregating an operation associated with the another network function into the network function segment when the another network function is capable of being parallelized with the network function segment, or pushing the network function segment as a completed segment of a hybrid service function chain when the another network function is not capable of being parallelized with the network function segment, and implementing the hybrid service function chain.

Controlling parallel data processing for service function chains

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.

Parallel data processing for service function chains spanning multiple servers

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.

Detect impact of network maintenance in software defined infrastructure

A processing system may obtain an intent comprising a desired network state for a telecommunication network, determine an existing network state, where the desired network state and the existing network state are defined in accordance with a graph representing the telecommunication network, where the graph includes objects and relationships between the plurality of objects, and where each of the objects includes one or more properties. The processing system may compose a strategy that includes a plurality of policies to obtain the desired network state from the existing network state, where each of the policies comprises an action that is to be implemented in the telecommunication network, where the composing comprises performing a state exploration process over the graph, and where each state transition of the process corresponds to one of the policies. The processing system may then implement the strategy to place the telecommunication network in the desired network state.

Network intent synthesis

Performance issues in a service function chain having a plurality of resources and a plurality of network functions each having a network function queue are diagnosed. Each network function queue is monitored and queueing information for input packets for each of the plurality of network functions is dumped to a data store. Each resource that is under contention is identified as well as which of the network functions is a contender for the resources. A diagnosing algorithm is used to diagnose performance problems and an impact graph for each victim packet is generated. A summary of results as a list of rules is then provided.

Methods, systems and computer readable media for diagnosing network function virtualization performance

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.

Parallelism for virtual network functions in service function chains

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.

Diagnostic traffic generation for automatic testing and troubleshooting

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.

Augmented reality with markerless, context-aware object tracking

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.

Growing community of inventors

Branchburg, NJ, United States of America

Muhammad Bilal Anwer