Cisco Technology, Inc.

Preethi Natarajan

Rong Pan

Xiaoqing Zhu

Pascal Thubert

Jiang Zhu

Sateesh Kumar Addepalli

Lillian Lei Dai

Flavio Giovanni Bonomi

Pere Monclus

Vina Ermagan

Fabio Rodolfo Maino

Raghuram S Sudhaakar

Vijaynarayanan Subramanian

Frederick Juergens Baker

Hao Hu

Alexander Loukissas

Nii Ako Ampa-Sowa

Mythili Suryanarayana Prabhu

Santosh Ghanshyam Pandey

Alon Shlomo Bernstein

Chiu Ngok Eric Wong

Alberto Rodriguez Natal

Ashok Krishnaji Moghe

Douglas Chan

Chiara Piglione

Stephen E Jerman

Marc Portoles Comeras

Huy Phuong Tran

Abhishek Bhattacharyya

Mehdi Nikkhah

Kevin C Lee

Lorand Jakab

Christian Ibars Casas

Robert Edward Somers

Marc Jean-Philippe Girardot

Alberto Cabellos Aparicio

Bill Carroll VerSteeg

Vasileios Lakafosis

Mythili Mudlapur Suryanarayana Prabhu

In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.

Estimating utilization of network resources using time series data

A method in one embodiment includes intercepting a message in an on-board unit (OBU) of a vehicular network environment between a source and a receiver in the vehicular network environment, verifying the message is sent from the source, verifying the message is not altered, evaluating a set of source flow control policies associated with the source, and blocking the message if the set of source flow control policies indicate the message is not permitted. In specific embodiments, the message is not permitted if a level of access assigned to the source in the set of source flow control policies does not match a level of access tagged on the message. In further embodiments, the method includes evaluating a set of receiver flow control policies associated with the receiver, and blocking the message if the set of receiver flow control policies indicates the message is not permitted.

System and method for wireless interface selection and for communication and access control of subsystems, devices, and data in a vehicular environment

A server uses an LSTM neural network to predict a bandwidth value for a computer network element using past traffic data. The server receives a time series of bandwidth utilization of the computer network element. The time series includes bandwidth values associated with a respective time values. The LSTM neural network is trained with a training set selected from at least a portion of the time series. The server generates a predicted bandwidth value associated with a future time value based on the LSTM neural network. The provisioned bandwidth for the computer network element is adjusted based on the predicted bandwidth value.

Network traffic prediction using long short term memory neural networks

Techniques are provided for a network mapping server device in a network to receive a connection upgrade message comprising information to establish a first data flow from a first endpoint that does not support multiple subflows for the first data flow according to a multipath protocol, where multiple subflows subdivide the first data flow across two or more network paths. The information in the connection upgrade message is analyzed in order to resolve network connectivity to determine potential network connections for at least two subflows of the first data flow to a second endpoint. A response message is sent comprising information configured to establish at least two subflows for the first data flow between the first endpoint and the second endpoint.

Multipath provisioning of L4-L7 traffic in a network

A method includes establishing communication channels between an on-board unit (OBU) of a vehicle and a plurality of nodes, tagging each of a plurality of data from the plurality of nodes with a priority level, storing the plurality of data in a priority queue according to respective priority levels, selecting a medium to present a first data of the plurality of data to a user, and presenting the first data to the user via the medium. In the method, the plurality of nodes includes a remote node and an in-vehicle device. Another method includes receiving a data from a remote node, generating a plurality of data streams from the data and transmitting the plurality of data streams across a plurality of wireless interfaces. Another method includes enhancing audio signals from a plurality of microphones and speakers. Yet another method includes various gesture based user interfaces coupled to the OBU.

System and method for real-time synthesis and performance enhancement of audio/video data, noise cancellation, and gesture based user interfaces in a vehicular environment

An example method for adapting Proportional Integral controller Enhanced (PIE) algorithm for varying network conditions is provided and includes estimating an average dequeue rate at which packets are dequeued from a queue of packets maintained in a buffer in a network element operating, estimating a current queuing latency for the queue of packets based on the average dequeue rate, determining a target delay based on the average dequeue rate, the target delay varying with the average dequeue rate according to a predetermined relationship, and calculating a current drop probability associated with a probability that packets arriving at the buffer will be dropped or marked, the current drop probability being calculated using at least the current queuing latency and the target delay. In some embodiments, a threshold for a number of bytes dequeued from the buffer is estimated based on network conditions.

Adapting proportional integral controller enhanced algorithm for varying network conditions in a network environment

A method includes selecting a path for routing a data packet from a source node to a destination node in a vehicular ad hoc network, storing the data packet if the selected path is identified as a dead end, and establishing a communication link with a first node. The method also includes forwarding the data packet to the first node if a first distance between the first node and the destination node is less than a second distance between the source node and the destination node. More specific embodiments include sending a query for location information of the destination node, receiving the location information including two or more available paths from the source node to the destination node, and determining the path for routing the data packet is an optimal path of the two or more available paths.

System and method for routing, mobility, application services, discovery, and sensing in a vehicular network environment

An efficient process is provided that exploits features in historical and current client location data to forecast client counts of different zones up to several hours ahead. These features may be obtained from correlations of client counts of multiple zones in a recent and long period of time. These features may also be combined using techniques that choose the best performing method for a particular dataset and a particular lookahead time. This process provides better forecast/prediction on the zone-based client count data, and is very useful in customer analytics which can now show the future predicted value. This can help the analytics customers to plan their operations based on the location analytics.

Efficient zone based client count forecasting

A system includes an on-board unit (OBU) in communication with an internal subsystem in a vehicle on at least one Ethernet network and a node on a wireless network. A method in one embodiment includes receiving a message on the Ethernet network in the vehicle, encapsulating the message to facilitate translation to Ethernet protocol if the message is not in Ethernet protocol, and transmitting the message in Ethernet protocol to its destination. Certain embodiments include optimizing data transmission over the wireless network using redundancy caches, dictionaries, object contexts databases, speech templates and protocol header templates, and cross layer optimization of data flow from a receiver to a sender over a TCP connection. Certain embodiments also include dynamically identifying and selecting an operating frequency with least interference for data transmission over the wireless network.

System and method for internal networking, data optimization and dynamic frequency selection in a vehicular environment

In one embodiment, a method includes estimating a current queuing latency, the estimated current queuing latency being associated with a queue of packets maintained in a buffer. The method also includes calculating a current drop or mark probability, the current drop or mark probability being associated with a probability that packets associated with the queue of packets will be dropped or marked. A rate at which the packets associated with the queue of packets are dequeued from the buffer is estimated in order to estimate the current queuing latency. The current drop or mark probability is calculated using the current estimated queuing latency.

Utilizing latency control to alleviate bufferbloat

In accordance with one embodiment, a system and method are provided for translation services to facilitate interoperation between mobility schemes. In other embodiments, the system and method may provide transport and network services for legacy applications, and adaptive coding for message, packet, link and physical layers.

System and method for transport, network, translation, and adaptive coding in a vehicular network environment

A method in one embodiment includes detecting a trigger on an electronic device and identifying an interface usage policy for an agent and a corresponding application on the electronic device. The method also includes selecting a first wireless interface of a plurality of wireless interfaces on the electronic device for a network session between an application process of the application and a remote node, with the first wireless interface being selected based on one or more criteria in the interface usage policy. In specific embodiments the electronic device is an on-board unit of a vehicle. In more specific embodiments a second wireless interface is selected based on the interface usage policy, the first and second wireless interfaces are different physical interfaces on the electronic device. In other specific embodiments, the first and second wireless interfaces are virtual interfaces of a single physical interface on the electronic device.

Growing community of inventors

Los Gatos, CA, United States of America

Preethi Natarajan