A computer implemented system is provided for improving performance of transmission in real-time or near real-time applications from at least one transmitter unit to at least one receiver unit. The system includes an intelligent data connection manager utility that generates or accesses performance data for two or more data connections associated with the two or more communication networks, and based on the current performance data determining current network transmission characteristics associated the two or more data connections, and bonds the two or more data connections based on: a predetermined system latency requirement; and dynamically allocating different functions associated with data transmission between the two or more data connections based on their respective current network transmission characteristics. The data connection manager utility then manages dynamically the transmission of relatively large data sets across the two or more bonded or aggregated data connections in a way that meets the system latency requirement and improves performance in regards to other network performance criteria (including data transfer rate, errors, and/or packet loss). Related computer implemented methods are also provided.

A computer implemented system is provided for improving performance of transmission in real-time or near real-time applications from at least one transmitter unit to at least one receiver unit. The system includes an intelligent data connection manager utility that generates or accesses performance data for two or more data connections associated with the two or more communication networks, and based on the current performance data determining current network transmission characteristics associated the two or more data connections, and bonds the two or more data connections based on: a predetermined system latency requirement; and dynamically allocating different functions associated with data transmission between the two or more data connections based on their respective current network transmission characteristics. The data connection manager utility then manages dynamically the transmission of relatively large data sets across the two or more bonded or aggregated data connections in a way that meets the system latency requirement and improves performance in regards to other network performance criteria (including data transfer rate, errors, and/or packet loss). Related computer implemented methods are also provided.

In various embodiments, the techniques and supporting systems implement a recursive routing mechanism in hierarchical topological addressed environments to analyze and determine the presence of packet-forwarding errors within an IP network comprising a plurality of network-connected devices. This includes receiving, at a software defined network device, an indication of a potential packet-forwarding error between a first and second device of the plurality of network-connected devices and injecting, by the software defined network device, a test packet at an ingress to the first device. The test packet includes an initial ingress interface location identifying the first device, an alternate ingress interface location identifying the software defined network device and an egress interface location identifying the second device. A determination may then be made as to whether the test packet is received at the second device, thus indicating the existence or lack of routing errors.

In various embodiments, the techniques and supporting systems implement a recursive routing mechanism in hierarchical topological addressed environments to analyze and determine the presence of packet-forwarding errors within an IP network comprising a plurality of network-connected devices. This includes receiving, at a software defined network device, an indication of a potential packet-forwarding error between a first and second device of the plurality of network-connected devices and injecting, by the software defined network device, a test packet at an ingress to the first device. The test packet includes an initial ingress interface location identifying the first device, an alternate ingress interface location identifying the software defined network device and an egress interface location identifying the second device. A determination may then be made as to whether the test packet is received at the second device, thus indicating the existence or lack of routing errors.

A network device includes one or more processors and a memory storing firmware that when executed by the one or more processors causes the network device to perform operations including executing the firmware according to a configuration file, wherein the executing includes receiving one or more commands updating the configuration file to become a modified configuration file; and executing the firmware according to the modified configuration file. Wherein executing the firmware according to the modified configuration file includes: extracting a mode from the modified configuration file, the mode indicating a condition, a set of parameters, and a rule mapping the condition to an action; evaluating the condition based on one or more parameter values associated with the set of parameters; and in response to determining that the condition has been met, performing the action, wherein performing the action modifies how a resource is distributed at a location.

Techniques are disclosed relating to handover of WLAN voice calls to one or more cellular networks. In some embodiments, a device is configured to perform voice communications over one or more wireless local area networks, communicate with a first network using a first cellular radio access technology (RAT), and communicate with a second network using a second cellular RAT. The device may store, based on communications via the first network, information indicating that the first network does not support voice communications for the apparatus. The device may handover a voice call from a wireless local network directly to the second cellular RAT, based on the stored information and without handover of the voice call to the first cellular RAT, based on call conditions on the wireless local area network.

Techniques are disclosed relating to handover of WLAN voice calls to one or more cellular networks. In some embodiments, a device is configured to perform voice communications over one or more wireless local area networks, communicate with a first network using a first cellular radio access technology (RAT), and communicate with a second network using a second cellular RAT. The device may store, based on communications via the first network, information indicating that the first network does not support voice communications for the apparatus. The device may handover a voice call from a wireless local network directly to the second cellular RAT, based on the stored information and without handover of the voice call to the first cellular RAT, based on call conditions on the wireless local area network.

In one embodiment, a method includes receiving, from a controller, a data packet including (1) a plurality of samples each corresponding to measurements from a motion sensor and (2) a timestamp corresponding to a measurement time of one of the samples as measured by a clock of the controller; determining, based on the timestamp, an estimated measurement time relative to a local clock for each of the plurality of samples that is not associated with the timestamp; and converting each of the timestamp and the estimated measurement times to a corresponding synchronization time using a learned relationship relating the clock of the controller and the local clock. The learned relationship is iteratively learned based on previously received data packets from the controller. The synchronization time associated with each of the plurality of samples represents an estimated time, relative to the local clock, at which the sample was measured.

In one embodiment, a method includes receiving, from a controller, a data packet including (1) a plurality of samples each corresponding to measurements from a motion sensor and (2) a timestamp corresponding to a measurement time of one of the samples as measured by a clock of the controller; determining, based on the timestamp, an estimated measurement time relative to a local clock for each of the plurality of samples that is not associated with the timestamp; and converting each of the timestamp and the estimated measurement times to a corresponding synchronization time using a learned relationship relating the clock of the controller and the local clock. The learned relationship is iteratively learned based on previously received data packets from the controller. The synchronization time associated with each of the plurality of samples represents an estimated time, relative to the local clock, at which the sample was measured.

An example method includes creating, by a computing system and in response to user input, one or more virtual master devices and a plurality of virtual leaf devices in a virtual network system; selecting, by the computing system, data from one or more of real-time clock offset data, prerecorded clock offset data, or synthetically generated clock offset data; executing, by the computing system, a time synchronization simulation by applying a predefined clock offset generation algorithm to the selected data; and outputting, by the computing system, data indicative of results of the time synchronization simulation.