Abstract: A system for enterprise collaboration is associated with an overlay network, such as a content delivery network (CDN). The overlay network comprises machines capable of ingress, forwarding and broadcasting traffic, together with a mapping infrastructure. The system comprises a front-end application, a back-end application, and set of one or more APIs through which the front-end application interacts with the back-end application. The front-end application is a web or mobile application component that provides one or more collaboration functions. The back-end application comprises a signaling component that maintains state information about each participant in a collaboration, a connectivity component that manages connections routed through the overlay network, and a multiplexing component that manages a multi-peer collaboration session to enable an end user peer to access other peers' media streams through the overlay network rather than directly from another peer.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: A system for enterprise collaboration is associated with an overlay network, such as a content delivery network (CDN). The overlay network comprises machines capable of ingress, forwarding and broadcasting traffic, together with a mapping infrastructure. The system comprises a front-end application, a back-end application, and set of one or more APIs through which the front-end application interacts with the back-end application. The front-end application is a web or mobile application component that provides one or more collaboration functions. The back-end application comprises a signaling component that maintains state information about each participant in a collaboration, a connectivity component that manages connections routed through the overlay network, and a multiplexing component that manages a multi-peer collaboration session to enable an end user peer to access other peers' media streams through the overlay network rather than directly from another peer.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: A system for enterprise collaboration is associated with an overlay network, such as a content delivery network (CDN). The overlay network comprises machines capable of ingress, forwarding and broadcasting traffic, together with a mapping infrastructure. The system comprises a front-end application, a back-end application, and set of one or more APIs through which the front-end application interacts with the back-end application. The front-end application is a web or mobile application component that provides one or more collaboration functions. The back-end application comprises a signaling component that maintains state information about each participant in a collaboration, a connectivity component that manages connections routed through the overlay network, and a multiplexing component that manages a multi-peer collaboration session to enable an end user peer to access other peers' media streams through the overlay network rather than directly from another peer.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: An overlay network platform facilitates a multi-party conference. End users participate in the conference using client-based web browser software. According to this disclosure, an enhanced “audio” experience for a user participating in the conference is provided by rendering different participants' audio in the conference at different positions in a three-dimensional (3D) space. In operation, and given a set of audio streams that comprise the conference and that are being received, a three-dimensional (3D) position for each audio stream in a 3D soundscape is computed. In one embodiment, the 3D position for each audio stream is computed by identifying a target area region of space, and then determining the 3D position for each stream in the target area region of space. The relative 3D positions may be determined based on contextual information related to the content of an audio stream, as well as a computed “relevance” of one stream versus another.

Abstract: A system for enterprise collaboration is associated with an overlay network, such as a content delivery network (CDN). The overlay network comprises machines capable of ingress, forwarding and broadcasting traffic, together with a mapping infrastructure. The system comprises a front-end application, a back-end application, and set of one or more APIs through which the front-end application interacts with the back-end application. The front-end application is a web or mobile application component that provides one or more collaboration functions. The back-end application comprises a signaling component that maintains state information about each participant in a collaboration, a connectivity component that manages connections routed through the overlay network, and a multiplexing component that manages a multi-peer collaboration session to enable an end user peer to access other peers' media streams through the overlay network rather than directly from another peer.

Abstract: An overlay network platform facilitates a multi-party conference. End users participate in the conference using client-based web browser software. According to this disclosure, an enhanced “audio” experience for a user participating in the conference is provided by rendering different participants' audio in the conference at different positions in a three-dimensional (3D) space. In operation, and given a set of audio streams that comprise the conference and that are being received, a three-dimensional (3D) position for each audio stream in a 3D soundscape is computed. In one embodiment, the 3D position for each audio stream is computed by identifying a target area region of space, and then determining the 3D position for each stream in the target area region of space. The relative 3D positions may be determined based on contextual information related to the content of an audio stream, as well as a computed “relevance” of one stream versus another.

Abstract: A system for enterprise collaboration is associated with an overlay network, such as a content delivery network (CDN). The overlay network comprises machines capable of ingress, forwarding and broadcasting traffic, together with a mapping infrastructure. The system comprises a front-end application, a back-end application, and set of one or more APIs through which the front-end application interacts with the back-end application. The front-end application is a web or mobile application component that provides one or more collaboration functions. The back-end application comprises a signaling component that maintains state information about each participant in a collaboration, a connectivity component that manages connections routed through the overlay network, and a multiplexing component that manages a multi-peer collaboration session to enable an end user peer to access other peers' media streams through the overlay network rather than directly from another peer.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network core is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. The system also provides for confidence-based consensus and automated fork resolution.

Abstract: An overlay network platform facilitates a multi-party videoconference. End users participate using client-based browser or mobile application rendering software, such as a web browser, and using a protocol such as WebRTC. Dynamic speaker selection among the participants is facilitated by continuously determining the “relevance” of a participant's stream with respect to other participants in the conference. Thus, for example, a particular participant stream might be deemed to have a higher relevance if it is the stream corresponding to a person that is currently speaking, that has spoken recently, or that is about to speak. Streams with higher relevance are then selectively delivered at higher quality relative to less relevant streams. Preferably, individual client machines determine which streams are requested and at which quality based in part on their local resource capabilities.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: An overlay network platform facilitates a multi-party videoconference. End users participate using client-based browser or mobile application rendering software, such as a web browser, and using a protocol such as WebRTC. Dynamic speaker selection among the participants is facilitated by continuously determining the “relevance” of a participant's stream with respect to other participants in the conference. Thus, for example, a particular participant stream might be deemed to have a higher relevance if it is the stream corresponding to a person that is currently speaking, that has spoken recently, or that is about to speak. Streams with higher relevance are then selectively delivered at higher quality relative to less relevant streams. Preferably, individual client machines determine which streams are requested and at which quality based in part on their local resource capabilities.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: An overlay network platform facilitates a multi-party videoconference. End users participate using client-based browser or mobile application rendering software, such as a web browser, and using a protocol such as WebRTC. Dynamic speaker selection among the participants is facilitated by continuously determining the “relevance” of a participant's stream with respect to other participants in the conference. Thus, for example, a particular participant stream might be deemed to have a higher relevance if it is the stream corresponding to a person that is currently speaking, that has spoken recently, or that is about to speak. Streams with higher relevance are then selectively delivered at higher quality relative to less relevant streams. Preferably, individual client machines determine which streams are requested and at which quality based in part on their local resource capabilities.

Abstract: A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core.

Abstract: A target is located and a track is associated with the target in the fusion coordinate system. An estimate/prediction of the target's velocity is developed within the tracker, as well as , a vector representing the distance from the fusion center to the target as estimated by the tracker, and , a vector representing the known distance from the fusion center to the sensor. The sensor's range vector, (the distance from the sensor to the target as predicted by the tracker) is transformed to fusion coordinates. Using the sensor's range vector, normalized to unit length, in fusion coordinates and the estimated target's velocity, an estimate of the target's speed projected in the direction of is derived. The estimated range-rate is compared per update to the sensor's measured range-rate in the form of an error measurement. The error is then used to correct the track's velocity prediction.