Systems, devices, and methods of measuring directional latency and congestion in a communication network. A Uni-Directional Latency Determination Unit is connected in a communication network, located between an end-user device and a server. It monitors packets transported between the end-user device and the server, and it estimates a uni-directional latency of packet transport from the end-user device to the server or from the server to the end-user device. It utilizes a Transmission Control Protocol (TCP) Header and Timestamp Analyzer, to perform an analysis of data contained in timestamps of TCP packet headers of transported packets; and particularly, it analyzes data contained in a TSval field of such TCP packet headers. Congestion mitigation operations are accordingly deployed or activated.

Systems, devices, and methods of measuring directional latency and congestion in a communication network. A Uni-Directional Latency Determination Unit is connected in a communication network, located between an end-user device and a server. It monitors packets transported between the end-user device and the server, and it estimates a uni-directional latency of packet transport from the end-user device to the server or from the server to the end-user device. It utilizes a Transmission Control Protocol (TCP) Header and Timestamp Analyzer, to perform an analysis of data contained in timestamps of TCP packet headers of transported packets; and particularly, it analyzes data contained in a TSval field of such TCP packet headers. Congestion mitigation operations are accordingly deployed or activated.

Systems, devices, and methods of measuring directional latency and congestion in a communication network. A Uni-Directional Latency Determination Unit is connected in a communication network, located between an end-user device and a server. It monitors packets transported between the end-user device and the server, and it estimates a uni-directional latency of packet transport from the end-user device to the server or from the server to the end-user device. It utilizes a Transmission Control Protocol (TCP) Header and Timestamp Analyzer, to perform an analysis of data contained in timestamps of TCP packet headers of transported packets; and particularly, it analyzes data contained in a TSval field of such TCP packet headers. Congestion mitigation operations are accordingly deployed or activated.

Example implementations relate to method and system for data management in a computing system, such as an edge server having a processing resource. During operation, the processing resource collects data from a plurality of smart devices and process a portion of the data at each edge-stage of a plurality of first edge-stages to generate partially processed data. Further, the processing resource evaluates a data processing load at an edge-stage of the plurality of first edge-stages based on a throughput of the edge-stage or a size of a data processing queue of a next edge-stage of the plurality of first edge-stages. The processing resource further pushes the partially processed data to the next edge-stage or a portion of the partially processed data to an external computing system and a remaining portion of the partially processed data to the next edge-stage, based on the data processing load at the edge-stage.

Example implementations relate to method and system for data management in a computing system, such as an edge server having a processing resource. During operation, the processing resource collects data from a plurality of smart devices and process a portion of the data at each edge-stage of a plurality of first edge-stages to generate partially processed data. Further, the processing resource evaluates a data processing load at an edge-stage of the plurality of first edge-stages based on a throughput of the edge-stage or a size of a data processing queue of a next edge-stage of the plurality of first edge-stages. The processing resource further pushes the partially processed data to the next edge-stage or a portion of the partially processed data to an external computing system and a remaining portion of the partially processed data to the next edge-stage, based on the data processing load at the edge-stage.

Methods, systems and devices for network congestion control exploit the inherent burstiness of network traffic, using a wave-based characterization of network traffic and corresponding multiplexing methods and approaches.

Methods, systems and devices for network congestion control exploit the inherent burstiness of network traffic, using a wave-based characterization of network traffic and corresponding multiplexing methods and approaches.

A digital data communications network that supports efficient, scalable routing of data and use of network resources by combining a recursive division of the network into hierarchical sub-networks with repeating parameterized general purpose link communication protocols and an addressing methodology that reflects the physical structure of the underlying network hardware. The sub-division of the network enhances security by reducing the amount of the network visible to an attack and by insulating the network hardware itself from attack. The fixed bandwidth range at each sub-network level allows quality of service to be assured and controlled. The routing of data is aided by a topological addressing scheme that allows data packets to be forwarded towards their destination based on only local knowledge of the network structure, with automatic support for mobility and multicasting. The repeating structures in the network greatly simplify network management and reduce the effort to engineer new network capabilities.

A digital data communications network that supports efficient, scalable routing of data and use of network resources by combining a recursive division of the network into hierarchical sub-networks with repeating parameterized general purpose link communication protocols and an addressing methodology that reflects the physical structure of the underlying network hardware. The sub-division of the network enhances security by reducing the amount of the network visible to an attack and by insulating the network hardware itself from attack. The fixed bandwidth range at each sub-network level allows quality of service to be assured and controlled. The routing of data is aided by a topological addressing scheme that allows data packets to be forwarded towards their destination based on only local knowledge of the network structure, with automatic support for mobility and multicasting. The repeating structures in the network greatly simplify network management and reduce the effort to engineer new network capabilities.

Methods, systems, and devices for communications are described. One or more flows between a node and one or more other nodes in a communication network may be monitored over a time period. During the monitoring, it may be identified that, during a subset of the time period, communications over at least one of the flows were restricted by the communication network based on receiving at least one indicator of congestion for the at least one flow. A quantity of traffic communicated over the one or more flows during the subset of the time period may then be determined, and respective flow rates of the one or more flows may be obtained. The obtained flow rates may be used to calculate a data rate of one or more connections between the node and the one or more other nodes.