Abstract: A communications system may include user equipment (UE) devices, communications satellites, gateways, a satellite communications (satcom) network, and network performance monitoring devices. The monitoring devices may generate forward link signal information associated with forward link signals received from the satellites and may generate reverse link packets transmitted to the gateways via the satellites. The monitoring devices and the gateways may generate reverse link signal information associated with the reverse link packets. The satcom network may identify differences between the first and second reverse link signal information or between the forward link signal information and predicted forward link signal information for the monitoring devices. When the differences exceed a threshold value, the satcom network may generate and transmit error information used to diagnose, debug, and/or repair the potential errors in the constellation or gateways.

Abstract: A communications system may include user equipment (UE) devices, communications satellites, gateways, a satellite communications (satcom) network, and network performance monitoring devices. The monitoring devices may generate forward link signal information associated with forward link signals received from the satellites and may generate reverse link packets transmitted to the gateways via the satellites. The monitoring devices and the gateways may generate reverse link signal information associated with the reverse link packets. The satcom network may identify differences between the first and second reverse link signal information or between the forward link signal information and predicted forward link signal information for the monitoring devices. When the differences exceed a threshold value, the satcom network may generate and transmit error information used to diagnose, debug, and/or repair the potential errors in the constellation or gateways.

Abstract: A communications network may be used to convey Short Message Service (SMS) messages using the Internet Protocol (IP). User equipment may transmit an SMS-over-IP Session Initiation Protocol (SIP) message to wireless equipment over a high-bandwidth communications link. The wireless equipment may route the SMS-over-IP SIP message to the ePDG. When the high-bandwidth link is unavailable, the user equipment may transmit a compressed message to the proxy server over a low-bandwidth communications link. The proxy server may convert the compressed message into an SMS-over-IP SIP message that is transmitted to the ePDG. The proxy server may serve as a proxy for the first user equipment from the perspective of the ePDG. This may allow SMS message data to continue to be conveyed through the communications network even when the high-bandwidth communications link becomes unavailable.

Abstract: One embodiment of the present invention sets forth a technique for replicating a file within a network of servers. The technique includes determining one or more regional master servers included in a regional cluster of servers and causing each regional master server to retrieve a file from a fill source. The technique further includes, for at least one local cluster of servers included in the regional cluster of servers, determining one or more local master servers included in the at least one local cluster of servers, and causing each local master server to retrieve the file from one of the one or more regional master servers.

Abstract: A network monitoring engine uses the routing and interface data of a monitored network to enrich received flow records with exit information. The routing data of the same network device at which the flow record is received is used to determine a next hop based upon the destination IP address of the flow record. In addition, interface data of the other devices is used to determine an egress device and interface of the network used to transmit traffic to the identified next hop. The flow record is enriched with exit information indicating an interface of the network the data packets of the flow record are expected to exit the network. By enriching the flow records as they are received, the exit information reflects how traffic is routed through the network at that time, even if the routing or interface information of the network later changes.

Abstract: A communications network may be used to convey Short Message Service (SMS) messages using the Internet Protocol (IP). User equipment may transmit an SMS-over-IP Session Initiation Protocol (SIP) message to wireless equipment over a high-bandwidth communications link. The wireless equipment may route the SMS-over-IP SIP message to the ePDG. When the high-bandwidth link is unavailable, the user equipment may transmit a compressed message to the proxy server over a low-bandwidth communications link. The proxy server may convert the compressed message into an SMS-over-IP SIP message that is transmitted to the ePDG. The proxy server may serve as a proxy for the first user equipment from the perspective of the ePDG. This may allow SMS message data to continue to be conveyed through the communications network even when the high-bandwidth communications link becomes unavailable.

Abstract: A communications network may be used to convey Short Message Service (SMS) messages using the Internet Protocol (IP). User equipment may transmit an SMS-over-IP Session Initiation Protocol (SIP) message to wireless equipment over a high-bandwidth communications link. The wireless equipment may route the SMS-over-IP SIP message to the ePDG. When the high-bandwidth link is unavailable, the user equipment may transmit a compressed message to the proxy server over a low-bandwidth communications link. The proxy server may convert the compressed message into an SMS-over-IP SIP message that is transmitted to the ePDG. The proxy server may serve as a proxy for the first user equipment from the perspective of the ePDG. This may allow SMS message data to continue to be conveyed through the communications network even when the high-bandwidth communications link becomes unavailable.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

Abstract: One embodiment of the present invention sets forth a technique for replicating a file within a network of servers. The technique includes determining one or more regional master servers included in a regional cluster of servers and causing each regional master server to retrieve a file from a fill source. The technique further includes, for at least one local cluster of servers included in the regional cluster of servers, determining one or more local master servers included in the at least one local cluster of servers, and causing each local master server to retrieve the file from one of the one or more regional master servers.

Abstract: A communications network may be used to convey Short Message Service (SMS) messages using the Internet Protocol (IP). User equipment may transmit an SMS-over-IP Session Initiation Protocol (SIP) message to wireless equipment over a high-bandwidth communications link. The wireless equipment may route the SMS-over-IP SIP message to the ePDG. When the high-bandwidth link is unavailable, the user equipment may transmit a compressed message to the proxy server over a low-bandwidth communications link. The proxy server may convert the compressed message into an SMS-over-IP SIP message that is transmitted to the ePDG. The proxy server may serve as a proxy for the first user equipment from the perspective of the ePDG. This may allow SMS message data to continue to be conveyed through the communications network even when the high-bandwidth communications link becomes unavailable.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

Abstract: A network monitoring engine uses the routing and interface data of a monitored network to enrich received flow records with exit information. The routing data of the same network device at which the flow record is received is used to determine a next hop based upon the destination IP address of the flow record. In addition, interface data of the other devices is used to determine an egress device and interface of the network used to transmit traffic to the identified next hop. The flow record is enriched with exit information indicating an interface of the network the data packets of the flow record are expected to exit the network. By enriching the flow records as they are received, the exit information reflects how traffic is routed through the network at that time, even if the routing or interface information of the network later changes.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

Abstract: A method for determining a classification for a video segment, comprising the steps of: breaking the video segment into a plurality of short-term video slices, each including a plurality of video frames and an audio signal; analyzing the video frames for each short-term video slice to form a plurality of region tracks; analyzing each region track to form a visual feature vector and a motion feature vector; analyzing the audio signal for each short-term video slice to determine an audio feature vector; forming a plurality of short-term audio-visual atoms for each short-term video slice by combining the visual feature vector and the motion feature vector for a particular region track with the corresponding audio feature vector; and using a classifier to determine a classification for the video segment responsive to the short-term audio-visual atoms.

Abstract: A method for determining a classification for a video segment, comprising the steps of: breaking the video segment into a plurality of short-term video slices, each including a plurality of video frames and an audio signal; analyzing the video frames for each short-term video slice to form a plurality of region tracks; analyzing each region track to form a visual feature vector and a motion feature vector; analyzing the audio signal for each short-term video slice to determine an audio feature vector; forming a plurality of short-term audio-visual atoms for each short-term video slice by combining the visual feature vector and the motion feature vector for a particular region track with the corresponding audio feature vector; and using a classifier to determine a classification for the video segment responsive to the short-term audio-visual atoms.