6 results about "Network traffic measurement" patented technology

A network traffic computing system obtains on-router traffic data, on-server traffic data and application log data. A data processing system extracts features from the data sources, splits the extracted features based upon destination and source ports and performs component-level aggregation of the features. The aggregated data is surfaced for monitoring and traffic control.

Systems, switches, network endpoints, and methods are provided. In one example, a system is described that includes a latency measurement circuit to measure traffic on a network from an endpoint sender to an endpoint receiver across multiple paths. The system also includes a packet marking circuit to provide a routing mark for a packet destined for the endpoint receiver according to a network traffic measurement provided by the latency measurement circuit, where the routing mark provides an indication that supports routing for the packet to reach the endpoint receiver via a chosen path or subset of paths among the multiple paths.

1. The name of the design product: test instrument. 2. The use of the design product: for but not limited to oscilloscope, error code instrument, network flow measuring instrument, fast wavelength meter, precision digital source table, low leakage matrix switch and other high-end test instruments. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

The invention belongs to the field of network flow measurement and network data processing, and relates to a graph flow data compression and recovery method and system based on a compressed sensing theory. The method comprises the following steps: establishing a multi-layer structure for storing and compressing graph stream data; when the graph stream data arrives, executing a layer-by-layer insertion process by utilizing a multi-layer structure to realize compression storage of the graph stream data; performing query operation on the compressed and stored graph stream data, wherein the query operation comprises edge query, subsequent query and predecessor query; and decompressing the compressed and stored graph stream data to realize recovery of the graph stream data. Layered architecture design is adopted, efficient compression and accurate recovery of graph stream data are achieved through an ingenious coding mode and optimization solution, and efficient precursor and subsequent weight and query under constant complexity are supported.

The invention belongs to the technical field of network flow measurement, and particularly relates to a multi-core network flow measurement method based on sampling and Sketch fusion, electronic equipment and a medium, and the method comprises the following steps: through an intelligent sampling mechanism, a working device does not store a counter structure of Sketch and is only responsible for generating vector messages related to counter values, so that about 67% of data packet processing amount is reduced; and the system throughput is greatly improved. An innovative message aggregation algorithm is adopted, and the measurement precision is equivalent to or even better than that of an existing scheme. According to the Sketch counter row updating method, the Sketch counter row updating operation is adopted, or sampling of a data packet is converted into sampling of the Sketch counter row updating operation, each working device only needs to maintain one hash function and one counter array, and therefore high throughput is maintained, and meanwhile good measuring precision is kept. According to the invention, network flow measurement with high performance and high resource utilization rate is realized, and meanwhile, the measurement precision is kept at a level equivalent to that of an existing mainstream scheme, so that the requirements of high efficiency, economical efficiency and reliability of flow measurement in a modern high-speed network environment are met.

The invention discloses a network flow measurement method based on Sketch-INT cooperation, electronic equipment and a medium, and the method comprises the steps: firstly obtaining network topology and source-destination pair information, and constructing a candidate forwarding path set; thirdly, a multi-target optimization model is constructed with the maximization of the flow coverage rate and the minimization of the distance to the control plane as targets, a measurement point set and an assignment relation are solved through Lagrangian relaxation and subgradient optimization, and Sketch and INT measurement programs are cooperatively deployed at selected points; then, flow is divided into a first class flow and a second class flow according to real-time distribution, and Sketch statistics and INT packet-by-packet collection are adopted respectively; and finally, based on a constrained Markov decision process, in combination with states such as a link utilization rate, a queue length and a worst sending rate, intelligently planning a report path and a distribution proportion, and ensuring non-congestion transmission of measurement data. According to the method, high-precision and low-resource-overhead whole-network flow monitoring is realized.