Abstract: In various embodiments, methods and systems are disclosed for a hybrid rate plus window based congestion protocol that controls the rate of packet transmission into the network and provides low queuing delay, practically zero packet loss, fair allocation of network resources amongst multiple flows, and full link utilization. In one embodiment, a congestion window may be used to control the maximum number of outstanding bits, a transmission rate may be used to control the rate of packets entering the network (packet pacing), a queuing delay based rate update may be used to control queuing delay within tolerated bounds and minimize packet loss, and aggressive ramp-up/graceful back-off may be used to fully utilize the link capacity and additive-increase, multiplicative-decrease (AIMD) rate control may be used to provide fairness amongst multiple flows.

Abstract: Embodiments of the present disclosure provide for dividing a display area having rendered data thereon into a plurality of tiles and determining an update frequency for each tile. A determination is then made as to whether the update frequency of each tile exceeds a threshold. For each tile whose update frequency exceeds the threshold, that tile is marked as a candidate tile. Each of the adjacent candidate tiles are then associated to form a heat map. The heat map is then analyzed to determine whether to encode the rendered data associated with the heat map.

Abstract: In various embodiments, remote presentation encoding techniques may be modified in such a way that the data can be transmitted over transports without guaranteed packet delivery. In one embodiment, the desktop graphics data may be encoded in individual frames, each frame comprising self-contained graphics elements that fit in a small number of User Datagram Protocol (UDP) protocol data units (PDUs). The PDUs may then be sent to the client on a separate lossy link instead of the lossless link. On the client side, the client may detect which graphic elements within a frame were “lost” as a result of dropped UDP packets and request a refresh from the server through the lossless channel.

Abstract: Embodiments of the present disclosure provide for dividing a display area having rendered data thereon into a plurality of tiles and determining an update frequency for each tile. A determination is then made as to whether the update frequency of each tile exceeds a threshold. For each tile whose update frequency exceeds the threshold, that tile is marked as a candidate tile. Each of the adjacent candidate tiles are then associated to form a heat map. The heat map is then analyzed to determine whether to encode the rendered data associated with the heat map.

Abstract: A display area having rendered data thereon is divided into a plurality of tiles and an update frequency for each tile is determined. A determination is then made as to whether the update frequency of each tile exceeds a threshold. For each tile whose update frequency exceeds the threshold, that tile is marked as a candidate tile. Adjacent candidate tiles are then associated to form a heat map. The heat map is then analyzed to determine whether to encode the rendered data associated with the heat map.

Abstract: An invention is disclosed for classifying a graphic—e.g. as text or non-text. In embodiments, machine learning is used to generate a solution for classifying graphics of a graphic based on providing the machine learning system a plurality of graphics that are already classified. The way to determine a classification is then used by a remote presentation session server to classify tiles of frames to be transmitted to a client in a remote presentation session. The server encodes the tiles based on their classifications and transmits the encoded tiles to the client.

Abstract: An invention is disclosed for efficiently processing and transmitting graphics data in a remote desktop environment. In embodiments of the invention, a connection is established between a remote desktop server computer and a remote desktop client computer. The remote desktop server computer may process graphics data representative of a remote user desktop. The remote desktop server computer may divide the remote desktop screen in data regions and portions. The remote desktop server computer may then encode and transmit each region to the remote desktop client computer at a certain quality that may be adjusted progressively across the screen frames. The remote desktop server computer may also stop encoding and transmitting the portions of the data region that would not be visible to a user when the region is rendered on a display. The remote desktop user experiences an image quality gradually improving with each frame containing information about the image.

Abstract: An invention is disclosed for classifying a graphic—e.g. as text or non-text. In embodiments, machine learning is used to generate a solution for classifying graphics of a graphic based on providing the machine learning system a plurality of graphics that are already classified. The way to determine a classification is then used by a remote presentation session server to classify tiles of frames to be transmitted to a client in a remote presentation session. The server encodes the tiles based on their classifications and transmits the encoded tiles to the client.

Abstract: In various embodiments, methods and systems are disclosed for integrating a remote presentation protocol with a datagram based transport. In one embodiment, an integrated protocol is configured to support lossless or reduced loss transport based on Retransmission (ARQ) combined with Forward Error Correction (FEC). The protocol involves encoding and decoding of data packets including feedback headers and FEC packets, continuous measurement of RTT, RTO and packet delay, dynamically evaluating loss probability to determine and adjust the ratio of FEC, congestion management based on dynamically detecting increase in packet delay, and fast data transmission rate ramp-up based on detecting a decrease in packet delay.

Abstract: An invention is disclosed for classifying a graphic—e.g. as text or non-text. In embodiments, machine learning is used to generate a solution for classifying graphics of a graphic based on providing the machine learning system a plurality of graphics that are already classified. The way to determine a classification is then used by a remote presentation session server to classify tiles of frames to be transmitted to a client in a remote presentation session. The server encodes the tiles based on their classifications and transmits the encoded tiles to the client.

Abstract: In various embodiments, methods and systems are disclosed for a hybrid rate plus window based congestion protocol that controls the rate of packet transmission into the network and provides low queuing delay, practically zero packet loss, fair allocation of network resources amongst multiple flows, and full link utilization. In one embodiment, a congestion window may be used to control the maximum number of outstanding bits, a transmission rate may be used to control the rate of packets entering the network (packet pacing), a queuing delay based rate update may be used to control queuing delay within tolerated bounds and minimize packet loss, and aggressive ramp-up/graceful back-off may be used to fully utilize the link capacity and additive-increase, multiplicative-decrease (AIMD) rate control may be used to provide fairness amongst multiple flows.

Abstract: In various embodiments, remote presentation encoding techniques may be modified in such a way that the data can be transmitted over transports without guaranteed packet delivery. In one embodiment, the desktop graphics data may be encoded in individual frames, each frame comprising self-contained graphics elements that fit in a small number of User Datagram Protocol (UDP) protocol data units (PDUs). The PDUs may then be sent to the client on a separate lossy link instead of the lossless link. On the client side, the client may detect which graphic elements within a frame were “lost” as a result of dropped UDP packets and request a refresh from the server through the lossless channel.

Abstract: In various embodiments, methods and systems are disclosed for a hybrid rate plus window based congestion protocol that controls the rate of packet transmission into the network and provides low queuing delay, practically zero packet loss, fair allocation of network resources amongst multiple flows, and full link utilization. In one embodiment, a congestion window may be used to control the maximum number of outstanding bits, a transmission rate may be used to control the rate of packets entering the network (packet pacing), a queuing delay based rate update may be used to control queuing delay within tolerated bounds and minimize packet loss, and aggressive ramp-up/graceful back-off may be used to fully utilize the link capacity and additive-increase, multiplicative-decrease (AIMD) rate control may be used to provide fairness amongst multiple flows.

Abstract: Embodiments of the present disclosure provide for dividing a display area having rendered data thereon into a plurality of tiles and determining an update frequency for each tile. A determination is then made as to whether the update frequency of each tile exceeds a threshold. For each tile whose update frequency exceeds the threshold, that tile is marked as a candidate tile. Each of the adjacent candidate tiles are then associated to form a heat map. The heat map is then analyzed to determine whether to encode the rendered data associated with the heat map.

Abstract: In various embodiments, remote presentation encoding techniques may be modified in such a way that the data can be transmitted over transports without guaranteed packet delivery. In one embodiment, the desktop graphics data may be encoded in individual frames, each frame comprising self-contained graphics elements that fit in a small number of User Datagram Protocol (UDP) protocol data units (PDUs). The PDUs may then be sent to the client on a separate lossy link instead of the lossless link. On the client side, the client may detect which graphic elements within a frame were “lost” as a result of dropped UDP packets and request a refresh from the server through the lossless channel.

Abstract: An invention is disclosed for efficiently processing and transmitting graphics data in a remote desktop environment. In embodiments of the invention, a connection is established between a remote desktop server computer and a remote desktop client computer. The remote desktop server computer may process graphics data representative of a remote user desktop. The remote desktop server computer may divide the remote desktop screen in data regions and portions. The remote desktop server computer may then encode and transmit each region to the remote desktop client computer at a certain quality that may be adjusted progressively across the screen frames. The remote desktop server computer may also stop encoding and transmitting the portions of the data region that would not be visible to a user when the region is rendered on a display. The remote desktop user experiences an image quality gradually improving with each frame containing information about the image.

Abstract: An invention is disclosed for classifying a graphic—e.g. as text or non-text. In embodiments, machine learning is used to generate a solution for classifying graphics of a graphic based on providing the machine learning system a plurality of graphics that are already classified. The way to determine a classification is then used by a remote presentation session server to classify tiles of frames to be transmitted to a client in a remote presentation session. The server encodes the tiles based on their classifications and transmits the encoded tiles to the client.

Abstract: In various embodiments, methods and systems are disclosed for a hybrid rate plus window based congestion protocol that controls the rate of packet transmission into the network and provides low queuing delay, practically zero packet loss, fair allocation of network resources amongst multiple flows, and full link utilization. In one embodiment, a congestion window may be used to control the maximum number of outstanding bits, a transmission rate may be used to control the rate of packets entering the network (packet pacing), a queuing delay based rate update may be used to control queuing delay within tolerated bounds and minimize packet loss, and aggressive ramp-up/graceful back-off may be used to fully utilize the link capacity and additive-increase, multiplicative-decrease (AIMD) rate control may be used to provide fairness amongst multiple flows.

Abstract: In various embodiments, methods and systems are disclosed for integrating a remote presentation protocol with a datagram based transport. In one embodiment, an integrated protocol is configured to support lossless or reduced loss transport based on Retransmission (ARQ) combined with Forward Error Correction (FEC). The protocol involves encoding and decoding of data packets including feedback headers and FEC packets, continuous measurement of RTT, RTO and packet delay, dynamically evaluating loss probability to determine and adjust the ratio of FEC, congestion management based on dynamically detecting increase in packet delay, and fast data transmission rate ramp-up based on detecting a decrease in packet delay.

Abstract: In various embodiments, remote presentation encoding techniques may be modified in such a way that the data can be transmitted over transports without guaranteed packet delivery. In one embodiment, the desktop graphics data may be encoded in individual frames, each frame comprising self-contained graphics elements that fit in a small number of User Datagram Protocol (UDP) protocol data units (PDUs). The PDUs may then be sent to the client on a separate lossy link instead of the lossless link. On the client side, the client may detect which graphic elements within a frame were “lost” as a result of dropped UDP packets and request a refresh from the server through the lossless channel.