Abstract: Systems and methods to facilitate cloud-based point-to-point data transfer via machine learning are described herein. A request for a transfer of data between a sending system and a receiving system may be obtained. Receiving system information for the receiving system may be obtained. Values of transfer parameters for performing the transfer may be determined through machine-learning. The transfer may be performed based on the determined values. Results of the transfer may be obtained and provided to the machine-learning algorithm to further train the algorithm.

Abstract: A system transports a plurality of UDP datagrams from a sending application to a receiving application by creating a TCP tunnel between a TCP sending-end and a TCP receiving-end, encapsulating the datagrams in TCP packets at the TCP transmitting-end, transmitting the TCP packets via the TCP tunnel to the TCP receiving-end over a network using a TCP/IP protocol, and extracting the datagrams from the TCP packet and forwarding the extracted datagrams to the receiving application. The TCP tunnel may provide the same delay and responsiveness as UDP protocol. The TCP receiving-end may detect when a packet is missing and request retransmission when a packet is missing, so that the TCP sending-end retransmits the missing packets. The transmitting of TCP packets to the TCP receiving-end continues when the receiving-end detects a missing packet, so that there is no lag in the forwarding of the extracted datagrams. Retransmitted packets may be discarded.

Abstract: A system transports a plurality of UDP datagrams from a sending application to a receiving application by creating a TCP tunnel between a TCP sending-end and a TCP receiving-end, encapsulating the datagrams in TCP packets at the TCP transmitting-end, transmitting the TCP packets via the TCP tunnel to the TCP receiving-end over a network using a TCP/IP protocol, and extracting the datagrams from the TCP packet and forwarding the extracted datagrams to the receiving application. The TCP tunnel may provide the same delay and responsiveness as UDP protocol. The TCP receiving-end may detect when a packet is missing and request retransmission when a packet is missing, so that the TCP sending-end retransmits the missing packets. The transmitting of TCP packets to the TCP receiving-end continues when the receiving-end detects a missing packet, so that there is no lag in the forwarding of the extracted datagrams. Retransmitted packets may be discarded.

Abstract: A system transports a plurality of UDP datagrams from a sending application to a receiving application by creating a TCP tunnel between a TCP sending-end and a TCP receiving-end, encapsulating the datagrams in TCP packets at the TCP transmitting-end, transmitting the TCP packets via the TCP tunnel to the TCP receiving-end over a network using a TCP/IP protocol, and extracting the datagrams from the TCP packet and forwarding the extracted datagrams to the receiving application. The TCP tunnel may provide the same delay and responsiveness as UDP protocol. The TCP receiving-end may detect when a packet is missing and request retransmission when a packet is missing, so that the TCP sending-end retransmits the missing packets. The transmitting of TCP packets to the TCP receiving-end continues when the receiving-end detects a missing packet, so that there is no lag in the forwarding of the extracted datagrams. Retransmitted packets may be discarded.

Abstract: Systems and methods to facilitate cloud-based point-to-point data transfer via machine learning are described herein. A request for a transfer of data between a sending system and a receiving system may be obtained. Receiving system information for the receiving system may be obtained. Values of transfer parameters for performing the transfer may be determined through machine-learning. The transfer may be performed based on the determined values. Results of the transfer may be obtained and provided to the machine-learning algorithm to further train the algorithm.

Abstract: Systems and methods to facilitate cloud-based point-to-point data transfer via machine learning are described herein. A request for a transfer of data between a sending system and a receiving system may be obtained. Receiving system information for the receiving system may be obtained. Values of transfer parameters for performing the transfer may be determined through machine-learning. The transfer may be performed based on the determined values. Results of the transfer may be obtained and provided to the machine-learning algorithm to further train the algorithm.

Abstract: A system transports a plurality of UDP datagrams from a sending application to a receiving application by creating a TCP tunnel between a TCP sending-end and a TCP receiving-end, encapsulating the datagrams in TCP packets at the TCP transmitting-end, transmitting the TCP packets via the TCP tunnel to the TCP receiving-end over a network using a TCP/IP protocol, and extracting the datagrams from the TCP packet and forwarding the extracted datagrams to the receiving application. The TCP tunnel may provide the same delay and responsiveness as UDP protocol. The TCP receiving-end may detect when a packet is missing and request retransmission when a packet is missing, so that the TCP sending-end retransmits the missing packets. The transmitting of TCP packets to the TCP receiving-end continues when the receiving-end detects a missing packet, so that there is no lag in the forwarding of the extracted datagrams. Retransmitted packets may be discarded.

Abstract: A system transports a plurality of UDP datagrams from a sending application to a receiving application by creating a TCP tunnel between a TCP sending-end and a TCP receiving-end, encapsulating the datagrams in TCP packets at the TCP transmitting-end, transmitting the TCP packets via the TCP tunnel to the TCP receiving-end over a network using a TCP/IP protocol, and extracting the datagrams from the TCP packet and forwarding the extracted datagrams to the receiving application. The TCP tunnel may provide the same delay and responsiveness as UDP protocol. The TCP receiving-end may detect when a packet is missing and request retransmission when a packet is missing, so that the TCP sending-end retransmits the missing packets. The transmitting of TCP packets to the TCP receiving-end continues when the receiving-end detects a missing packet, so that there is no lag in the forwarding of the extracted datagrams. Retransmitted packets may be discarded.

Abstract: A system transports a plurality of UDP datagrams from a sending application to a receiving application by creating a TCP tunnel between a TCP sending-end and a TCP receiving-end, encapsulating the datagrams in TCP packets at the TCP transmitting-end, transmitting the TCP packets via the TCP tunnel to the TCP receiving-end over a network using a TCP/IP protocol, and extracting the datagrams from the TCP packet and forwarding the extracted datagrams to the receiving application. The TCP tunnel may provide the same delay and responsiveness as UDP protocol. The TCP receiving-end may detect when a packet is missing and request retransmission when a packet is missing, so that the TCP sending-end retransmits the missing packets. The transmitting of TCP packets to the TCP receiving-end continues when the receiving-end detects a missing packet, so that there is no lag in the forwarding of the extracted datagrams. Retransmitted packets may be discarded.

Abstract: A system for congestion control of traffic in a network that uses Transmission Control Protocol (TCP) includes a plurality of TCP congestion control programs having one or more parameters, a plurality of TCP congestion control units running the TCP congestion control programs, and a TCP mapper adapted to map incoming TCP traffic flow from a plurality of incoming TCP traffic flows to the TCP congestion control units based on at least one of (a) the type of application program from which the incoming TCP traffic flow originated (b) the type of network for which the incoming TCP traffic flow is destined, (c) parameters related to network performance (d) network constraints (e) source of the incoming TCP traffic flow, and (f) destination of the incoming TCP traffic flow.

Abstract: A system for congestion control of traffic in a network that uses Transmission Control Protocol (TCP) includes a plurality of TCP congestion control programs having one or more parameters, a plurality of TCP congestion control units running the TCP congestion control programs, and a TCP mapper adapted to map incoming TCP traffic flow from a plurality of incoming TCP traffic flows to the TCP congestion control units based on at least one of (a) the type of application program from which the incoming TCP traffic flow originated (b) the type of network for which the incoming TCP traffic flow is destined, (c) parameters related to network performance (d) network constraints (e) source of the incoming TCP traffic flow, and (f) destination of the incoming TCP traffic flow.

Abstract: A system for congestion control of traffic in a network that uses Transmission Control Protocol (TCP) includes a plurality of TCP congestion control programs having one or more parameters, a plurality of TCP congestion control units running the TCP congestion control programs, and a TCP mapper adapted to map incoming TCP traffic flow from a plurality of incoming TCP traffic flows to the TCP congestion control units based on at least one of (a) the type of application program from which the incoming TCP traffic flow originated (b) the type of network for which the incoming TCP traffic flow is destined, (c) parameters related to network performance (d) network constraints (e) source of the incoming TCP traffic flow, and (f) destination of the incoming TCP traffic flow.