Delivery of high quality video in an adaptive bit rate (ABR) download session is achieved using obtained using lower quality communication paths. The method involves detecting that an ABR download session of a video is in a steady-state condition. If so a further determination is made as to whether there is sufficient pre-fetch time available to download an (N+1)th video segment of the video using at alternative connection path through a virtual WAN having a lower quality than a first connection path through the virtual WAN. If sufficient pre-fetch time is available, the (N+1)th video segment is prefetched using at least the second connection path instead of the first connection path.

Delivery of high quality video in an adaptive bit rate (ABR) download session is achieved using obtained using lower quality communication paths. The method involves detecting that an ABR download session of a video is in a steady-state condition. If so a further determination is made as to whether there is sufficient pre-fetch time available to download an (N+1)th video segment of the video using at alternative connection path through a virtual WAN having a lower quality than a first connection path through the virtual WAN. If sufficient pre-fetch time is available, the (N+1)th video segment is prefetched using at least the second connection path instead of the first connection path.

Apparatus and methods for managing content delivery in a packetized network. In one embodiment, the network provide content to a plurality of clients via a plurality of nodes and origin points, and resources are discreetly represented (e.g., with IP addresses, such as those afforded under the IPv6 protocol) to allows for direct advertisement of resources. Exemplary solutions described herein further advantageously leverage extant architectures and protocols (such as BGP), and make use of a common control plane, which can be utilized for example by different content delivery network (CDN) operators and different delivery components to advertise resources. Internally within a given CDN, increased granularity of resource addressing and advertisement may provide benefits including: (i) resource affinity; (ii) resource-level balancing; (iii) dynamic resource scoping; and (iv) “zero-touch” provisioning and resource relocation.

A portable device and accompanying software provides users with a digital audio workstation with integrated tools take in raw audio data from physical inputs and map the raw data to various virtual outputs. Raw audio data for recording (recording data) is cast in real-time to a remote server. Monitoring data is simultaneously sent to collaborating devices via P2P protocols. The bitrate of the data for P2P transmissions can be adjusted to allow remote multiple users recording simultaneously to hear monitoring data in synchronicity, regardless of the speed of their respective internet connections. Face-to-face collaboration may be facilitated through the streaming of video data as the monitoring data. The low-latency of the P2P monitoring transmissions frees up bandwidth for the real-time streaming of the recording data. Audio recordings are uploaded to a central server, where they may be available to authorized collaborators for editing.

A portable device and accompanying software provides users with a digital audio workstation with integrated tools take in raw audio data from physical inputs and map the raw data to various virtual outputs. Raw audio data for recording (recording data) is cast in real-time to a remote server. Monitoring data is simultaneously sent to collaborating devices via P2P protocols. The bitrate of the data for P2P transmissions can be adjusted to allow remote multiple users recording simultaneously to hear monitoring data in synchronicity, regardless of the speed of their respective internet connections. Face-to-face collaboration may be facilitated through the streaming of video data as the monitoring data. The low-latency of the P2P monitoring transmissions frees up bandwidth for the real-time streaming of the recording data. Audio recordings are uploaded to a central server, where they may be available to authorized collaborators for editing.

Techniques for committing back end computing resources to an online stream of requests for data from client devices are described herein. A polling schedule server (e.g., a reservation management system), may receive polling reservation requests from a plurality of client devices, may evaluate each client device's need for “fresh” data based on a number of input signals, and may assign the client device a polling slot (e.g., a reservation for a future polling time). The polling scheduler server may subsequently receive a polling request from a client device and, upon validating a token received from the client device as well as a difference between an assigned polling time and the polling request timestamp, may grant the polling request by transmitting a request to one or more communication system servers, receiving data from the communication system servers, and providing the data to the client device.

Techniques for committing back end computing resources to an online stream of requests for data from client devices are described herein. A polling schedule server (e.g., a reservation management system), may receive polling reservation requests from a plurality of client devices, may evaluate each client device's need for “fresh” data based on a number of input signals, and may assign the client device a polling slot (e.g., a reservation for a future polling time). The polling scheduler server may subsequently receive a polling request from a client device and, upon validating a token received from the client device as well as a difference between an assigned polling time and the polling request timestamp, may grant the polling request by transmitting a request to one or more communication system servers, receiving data from the communication system servers, and providing the data to the client device.

A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events.

Systems, devices, and methods including: capturing, by a capture device, an audio and corresponding location metadata associated with an emergency call; refining the location metadata to provide a refined location metadata; correlating, by the capture device, the refined location metadata of the emergency call with a geofenced location of the computing devices of one or more first responders (FRs); screening, by the capture device or the computing device, the emergency call data; transmitting, by the capture device, a first signal to the one or more computing devices based on the correlation, the transmitted signal including a portion of the captured audio and corresponding location metadata; receiving, by the capture device, an accept signal from the one or more computing devices of one or more FRs; transmitting, by the capture device, a second signal to the one or more computing devices based on the received accept signal.

Generating granular clusters for real-time processing is provided. The systems can identify tokens based on aggregating input from computing devices over a time interval. The systems can identify, based on metrics, a subset of tokens for cluster generation. The systems can generate, via a clustering technique, token clusters from the subset of the tokens, each of the token clusters comprising two or more tokens from the subset of the tokens. The systems can apply a de-duplication technique to each of the token clusters. The systems can apply a filtering technique to the token clusters to remove tokens erroneously grouped in a token cluster. The systems can assign, based on a selection process, a label for each of the token clusters. The systems can activate, based on a number of remaining tokens in each of the token clusters, a subset of the token clusters for real-time content selection.