Martin N,Rey H.Real-time carrier network traffic measurement, visualization and topology modeling. Computer Communications . 2004M Van den Nieuwelaar,R Hunt. Real-time carrier network traffic measurement, visualisation and topology modelling[J].Computer Communications,2004,(01):128-140.doi:10.1016/j...
Promviz-front: based on Netflix'svizceralto render traffic graph. Features: Generates and renders traffic graph in realtime Able to replay from any time in the past Able to generate notices on node and connection from prom query Provides a sidecar application for k8s that watches config change...
Real-time Visualization of World Wide Web Traffic, {S}ymposium on Visualizing Time-Varying DataScullin, Will HKwan, Thomas TReed, Daniel AScullin, Will H., et al., “Real-Time Visualization of World Wide Web Traffic”, 1995, pp. 1-13....
InterMapper is designed to provide a real-time, dynamic visualization of your network. It can automatically scan your network, create maps of all network devices – and will also determine how those devices inter-connect. Connections are drawn on the map, making it easy for administrators to see...
摘要: The features, communication mode, information exchange and the applicable situation of the network platform CONTROL NET are introduced in detail. 关键词: Network platform Control network Real-time control Communication mode Data transfer 被引量: 11 年份: 2000 收藏...
The key to solve the traffic jam problems is to establish the city real-time road surveillance system.But nowadays,it is only based on the statistics of the covered areas while the precision of the statistics heavily related with the covered rate and covered intensity.Here we carry a decision...
Convert any camera network to a real-time traffic intelligence for smart cities of tomorrow. The sixth traffic sense running on your in-house AI servers is here! Discover the visual solver for all traffic tasks with a fully interactive interface. Become a master of smart city traffic. Get det...
These early-warning messages will help citizens to save their time, especially during peak hours. Also, the system broadcasts the traffic updates from the administrative authorities. A prototype is implemented to evaluate the feasibility of the model, and the results of the experiments show good ...
Graph Neural Network(GNN)[14]. GNNs are a novel family ofDeep Learningtechniques tailored for learning relational information. By using a GNN in the DRL agent, we enable Enero to operate efficiently over different network scenarios when the traffic matrix or thenetwork topologychanges during time....
🚀 Netdata excels in CPU Usage, RAM Usage and Execution Time, and has a similar impact in Network Traffic as Prometheus. The study did not normalize the results based on the number of metrics collected. Given that Netdata usually collects significantly more metrics than the other tools, Netda...