Abstract: A system for intelligent video streaming a video controller having at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to receive a playback request from a user device for a live stream, determine, from the playback request, whether source streaming content for the live stream is being transcoded, and allocate an available transcoder to transcode the source streaming content. The system further includes a transcoding having at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to join the multicast stream, retrieve the source streaming content, and transcode the source streaming content, and provide transcoded streaming content for delivery to the user device.

Abstract: Novel tools and techniques are provided for implementing notifications on a display device, and more particularly, for implementing, interacting with, and displaying notifications associated with media content on a display device. In various embodiments, a media player might receive one or more notifications associated with media content. The media player might further receive user interaction with the one or more notifications. The user interaction might cause the media content to be displayed on a second display device, the media content to be displayed after a program being currently viewed by a user has ended, a preview of the media content to be displayed, a live stream of the media content to be displayed in the notification, the media content to be placed in a queue, the media content to be recorded, or a recording of the media content to be deleted.

Abstract: Novel tools and techniques for machine learning based quality of experience optimization are provided. A system includes one or more network elements, an orchestrator, and a server. The server may further include a processor and non-transitory computer readable media comprising instructions executable by the processor to obtain telemetry information from a first protocol layer, obtain telemetry information from a second protocol layer, modify one or more attributes of the second protocol layer, observe a state of first protocol layer performance, assign a cost associated with changes to each of the one or more attributes of the second protocol layer, and optimize the first protocol layer performance based, at least in part, on the state of first protocol layer performance and the cost associated with the changes to one or more attributes of the second protocol layer. The orchestrator may be configured to modify the one or more attributes of the second protocol layer.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing auto-switching and/or auto-playing video content. In various embodiments, a computing system might determine whether a display device that is communicatively coupled to the computing system is in an off-state, and might determine whether a first video content will begin its broadcast from a first content source within a predetermined period after initiating such determination. Based on a determination that the display device is in the off-state and based on a determination that the first video content will be broadcast within the predetermined period, the computing system might automatically switch the display device to an on-state, and might automatically set the display device to display the first video content being broadcast from the first content source.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing notifications on a display device, and more particularly, for implementing, interacting with, and displaying notifications associated with media content on a display device. In various embodiments, a media player might receive one or more notifications associated with media content. The media player might further receive user interaction with the one or more notifications. The user interaction might cause the media content to be displayed on a second display device, the media content to be displayed after a program being currently viewed by a user has ended, a preview of the media content to be displayed, a live stream of the media content to be displayed in the notification, the media content to be placed in a queue, the media content to be recorded, or a recording of the media content to be deleted.

Abstract: Novel tools and techniques are provided for implementing auto-switching and/or auto-playing video content. In various embodiments, a computing system might determine whether a display device that is communicatively coupled to the computing system is in an off-state, and might determine whether a first video content will begin its broadcast from a first content source within a predetermined period after initiating such determination. Based on a determination that the display device is in the off-state and based on a determination that the first video content will be broadcast within the predetermined period, the computing system might automatically switch the display device to an on-state, and might automatically set the display device to display the first video content being broadcast from the first content source.

Abstract: Novel tools and techniques are provided for implementing auto-switching and/or auto-playing video content. In various embodiments, based on a determination that the display device is in the on-state, a computing system might identify a first content source of a first video content that is displayed on a display screen of the display device. Based on a determination that a second video content will soon begin its broadcast from a second content source, based on a determination that the display device is in the on-state, and based on a determination that the second content source is different from the first content source, the computing system might automatically switch the display device from display of the first video content from the first content source to display of the second video content from the second content source, without user interaction from any user to initiate switching.

Abstract: Novel tools and techniques are provided for provisioning network services, and, more particularly, to methods, systems, and apparatuses for implementing intelligent network services automation. In various embodiments, a computing system might actively retrieve one or more network data associated with one or more networks, might classify the retrieved one or more network data, and might analyze, using one or more machine learning techniques, the retrieved one or more network data to determine whether the one or more networks can be improved, based at least in part on the classification. Based on a determination that the one or more networks can be improved, the computing system might dynamically condition the one or more networks.

Abstract: Novel tools and techniques are provided for provisioning network services, and, more particularly, to methods, systems, and apparatuses for implementing intelligent network services automation. In various embodiments, a computing system might receive one or more network performance metrics of one or more networks, might receive network usage data associated with the one or more networks, and might analyze, using one or more machine learning techniques, the received one or more network performance metrics and the received network usage data to determine whether the one or more networks can be improved in terms of network efficiency or network operations. Based on a determination that the one or more networks can be improved, the computing system might dynamically reconfigure at least one of one or more network connections within the one or more networks or one or more network resources within the one or more networks.

Abstract: Novel tools and techniques are provided for provisioning network services, and, more particularly, to methods, systems, and apparatuses for implementing intelligent network services automation. In various embodiments, a computing system might receive one or more network data associated with one or more networks and might analyze, using one or more machine learning techniques, the received one or more network data to determine how to optimize at least one of the one or more networks or one or more storage services. The computing system might dynamically scale, in real-time, the at least one of the one or more networks or the one or more storage services, based on the analysis.

Abstract: Novel tools and techniques are provided for provisioning network services, and, more particularly, to methods, systems, and apparatuses for implementing intelligent network services automation. In various embodiments, a computing system might receive at least one of one or more requests for network services from one or more users or one or more orders for network services from the one or more users, might receive at least one of network performance metrics of networks or network usage data associated with the networks, and might analyze, using machine learning techniques, at least one of the network performance metrics, the network usage data, the one or more requests for network services, the one or more orders for network services, or one or more business rules. The computing system might spin up determined network resources among the at least one of the private network resources or the public network resources, based on the analysis.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Abstract: A system for intelligent video streaming a video controller having at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to receive a playback request from a user device for a live stream, determine, from the playback request, whether source streaming content for the live stream is being transcoded, and allocate an available transcoder to transcode the source streaming content. The system further includes a transcoding having at least one processor and non-transitory computer readable media having a set of instructions executable by the at least one processor to join the multicast stream, retrieve the source streaming content, and transcode the source streaming content, and provide transcoded streaming content for delivery to the user device.

Abstract: Embodiments of the invention provide apparatuses, systems and methods for distributing public information. For example, some embodiments of the invention provide methods for determining an appropriate set of addresses to which to distribute an alert. One such exemplary method comprises maintaining a directory of alert gateways. The directory can comprise a plurality of directory entries, and each directory entry can be associated with a particular alert gateway. Each directory entry can also comprise at least one gateway characteristic associated with that alert gateway. In some cases, a gateway characteristic can include information to enable the alert distribution device to determine whether a given alert should be transmitted to the alert gateway.

Abstract: Various embodiments of the invention provide novel apparatus, methods and systems for providing relatively high-speed bandwidth to enable, inter alia, video transmission services over media previously unable to support such services. In accordance with certain embodiments, a device located at the telecommunication service provider can logically couple two or more physical media to provide a single, consolidated source of bandwidth, which can be used to transmit data, which can represent a video signal. In accordance with other embodiments, a device located at the subscriber's location can be used to receive the data from each of the two physical media and recreate the video signal from the data, such that the video signal can be transmitted to a display device, such as a television, monitor, etc.