H04L43/087

Systems, apparatuses and methods for network packet management

Methods and systems are provided for latency-oriented router. An incoming packet is received on a first interface. The type of the incoming packet is determined. Upon the detection that the incoming packet belongs to latency-critical traffic, the incoming packet is duplicated into one or more copies. Subsequently, the duplicated copies are sent to a second interface in a delayed fashion where the duplicated copies are spread over a time period. The duplicated copies are received and processed at the second interface.

Adaptive private network asynchronous distributed shared memory services

A highly predicable quality shared distributed memory process is achieved using less than predicable public and private internet protocol networks as the means for communications within the processing interconnect. An adaptive private network (APN) service provides the ability for the distributed memory process to communicate data via an APN conduit service, to use high throughput paths by bandwidth allocation to higher quality paths avoiding lower quality paths, to deliver reliability via fast retransmissions on single packet loss detection, to deliver reliability and timely communication through redundancy transmissions via duplicate transmissions on high a best path and on a most independent path from the best path, to lower latency via high resolution clock synchronized path monitoring and high latency path avoidance, to monitor packet loss and provide loss prone path avoidance, and to avoid congestion by use of high resolution clock synchronized enabled congestion monitoring and avoidance.

Adaptive private network asynchronous distributed shared memory services

A highly predicable quality shared distributed memory process is achieved using less than predicable public and private internet protocol networks as the means for communications within the processing interconnect. An adaptive private network (APN) service provides the ability for the distributed memory process to communicate data via an APN conduit service, to use high throughput paths by bandwidth allocation to higher quality paths avoiding lower quality paths, to deliver reliability via fast retransmissions on single packet loss detection, to deliver reliability and timely communication through redundancy transmissions via duplicate transmissions on high a best path and on a most independent path from the best path, to lower latency via high resolution clock synchronized path monitoring and high latency path avoidance, to monitor packet loss and provide loss prone path avoidance, and to avoid congestion by use of high resolution clock synchronized enabled congestion monitoring and avoidance.

Reinforcement learning for jitter buffer control

Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

Reinforcement learning for jitter buffer control

Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

LEARNING SLA VIOLATION PROBABILITY FROM INTELLIGENT FINE GRAINED PROBING

In one embodiment, a device obtains a first set of measurements of a path metric for a path in a network that are measured using periodic probing of the path. The device obtains a second set of measurements of the path metric for the path that are measured using fine-grained probing of the path at a higher frequency than that of the periodic probing. The device generates a predictive model that predicts values of the path metric, based on the first set of measurements and on the second set of measurements. The device causes, based on a value of the path metric predicted by the predictive model, traffic to be rerouted from the path to another path in the network.

CANCELING PREDICTIONS UPON DETECTING CONDITION CHANGES IN NETWORK STATES

In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.

TECHNOLOGIES FOR OUT-OF-ORDER NETWORK PACKET MANAGEMENT AND SELECTIVE DATA FLOW SPLITTING
20230216767 · 2023-07-06 ·

Technologies for providing out-of-order network packet management and selective data flow splitting include a computing device. The computing device includes circuitry to identify a service data flow associated with a set of packets to be sent to a recipient computing device. The circuitry is also to determine a target quality of service for the service data flow, determine, as a function of the target quality of service, one or more radio links on which to send the packets, including determining whether to split the service data flow over multiple radio links, and send the packets through the determined one or more radio links.

TECHNOLOGIES FOR OUT-OF-ORDER NETWORK PACKET MANAGEMENT AND SELECTIVE DATA FLOW SPLITTING
20230216767 · 2023-07-06 ·

Technologies for providing out-of-order network packet management and selective data flow splitting include a computing device. The computing device includes circuitry to identify a service data flow associated with a set of packets to be sent to a recipient computing device. The circuitry is also to determine a target quality of service for the service data flow, determine, as a function of the target quality of service, one or more radio links on which to send the packets, including determining whether to split the service data flow over multiple radio links, and send the packets through the determined one or more radio links.

System and method for interleaved media communication and conversion
11553025 · 2023-01-10 · ·

A method or system configured for receiving a first single data stream representing a first multimedia file, the first single data stream including an interleaved sequence of data elements of a plurality of media, and/or transmitting a second single data stream representing a second multimedia file, the second single data stream including an interleaved sequence of data elements of said plurality of media, where the second multimedia file differs from said first multimedia file by at least one data element of a selected medium extracted from said first multimedia file, and/or by at least one data element of a selected medium added to the first multimedia file, and/or by at least one data element of a selected medium added to the first multimedia file being a converted version of the at least one data element of a selected medium extracted from the first multimedia file.