A method is provided for performing zero-copy distribution of data samples between applications running on the same node in a system using an Object Management Group (OMG) Data Distribution Service (DDS) and/or a Real-Time Publish Subscribe (RTPS) protocol. Further provided is a method for selecting the network representation to communicate with a DataReader in a system using an Object Management Group (OMG) Real-Time Publish Subscribe (RTPS) protocol. Still further provided is the combination of these two methods to communicate transparently using zero-copy within the same node and not using zero-copy for different nodes. Embodiments of this invention lead to a relatively small communication latency that is constant and independent of the data size for applications running within a single node.

An issue tracking system configured to track issues, tickets, or tasks is described herein. The issue tracking system may be used to create, modify, and delete issue records during a live meeting or event. The issue tracking system may be adapted to determine a likelihood of user attendance or user proximity and, in accordance with the likelihood exceeding a threshold or meeting a criteria, suppress transmission of notifications to a subset of user devices. Normal or unsuppressed notification transmission is maintained to another subset of user devices.

Systems, methods, and devices of the various embodiments disclosed herein may provide a protocol and architecture for decentralization of content delivery. Various embodiments may provide a client based method for content delivery from content delivery networks (CDNs) via tiered caches of content hosted by Internet Service Providers (ISPs). In various embodiments, content delivery protocol (CDP) messages may enable clients to discover local cache network topologies and request content from a CDN based on a discovered local cache network topology. In various embodiments, security may be provided for the content delivery by the use of key encryption and/or file hashing.

A computer implemented method allocates wireless network and adaptive video streaming resources in environments with high device density. The network has one or more access points and at least one user device. The stages of the method include obtaining the information from radio access network or video service telemetry; generating a resource allocation list between each user device and at least one channel with an associated representation index, distributing the resource allocation list, performing at least one handover and at least one video rate recommendation.

Systems and methods are described for performing adaptive bitrate (ABR) streaming. A user device may request a segment of a first version of a plurality of versions of a content asset from a content provider, and may receive the segment. An estimated time to receive a second segment of a second version of the content may be determined based on metrics associated with receipt of the segment of the first version and in a manner that takes into account latency with the network, such that a determination whether to switch to a higher or lower bitrate version of a content asset during ABR streaming may be more accurately made.

Systems and methods are described for performing adaptive bitrate (ABR) streaming. A user device may request a segment of a first version of a plurality of versions of a content asset from a content provider, and may receive the segment. An estimated time to receive a second segment of a second version of the content may be determined based on metrics associated with receipt of the segment of the first version and in a manner that takes into account latency with the network, such that a determination whether to switch to a higher or lower bitrate version of a content asset during ABR streaming may be more accurately made.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

Techniques for buffering data over high bandwidth networks are provided. A first portion of data is downloaded, by a device, into a buffer at a first download speed via a first network connection. Upon determining that the device is downloading data via a second network connection, at a second download speed greater than the first download speed, a second portion of data is downloaded, via the second network connection, into a cache.

Techniques for buffering data over high bandwidth networks are provided. A first portion of data is downloaded, by a device, into a buffer at a first download speed via a first network connection. Upon determining that the device is downloading data via a second network connection, at a second download speed greater than the first download speed, a second portion of data is downloaded, via the second network connection, into a cache.

A method of processing media content in Moving Picture Experts Group (MPEG) Network Based Media Processing (NBMP) includes obtaining a plurality of tasks for processing the media content, providing an interface between an NBMP workflow manager and a cloud manager by providing an NBMP Link application program interface (API), which links the plurality of tasks together, identifying an amount of network resources to be used for processing the media content, by using the NBMP Link API, and processing the media content in accordance with the identified amount of network resources.