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It enables various scenarios to be evaluated based upon stored real-time traffic samples.
By exploiting Infinitesimal Perturbation Analysis to capture the network performance sensitivity, we obtain an adaptive control law suitable for on-line control on the basis of traffic samples acquired during the network evolution.
Another important thing to keep in mind is to select a reliable classification algorithm to ensure high accuracy of the vehicle classification results and to obtain enough truck traffic samples to be used for statistical analysis.
For their assessment, experiments with public domain datasets (KDD'99, CAIDA'07 and CAIDA'08) and simulations on various network configurations based on traffic samples gathered by the University Complutense of Madrid and flooding attacks generated by the tool DDoSIM were performed.
AA release was significantly increased with exposure to PM2.5 10 samples from MOB (high traffic) compared with AMS (high traffic), SAS (low traffic), and DOR (moderate traffic) samples at 60 μg/cm and DOR and ROM (high traffic) samples at 20 μg/cm.
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The Bayesian fusion along with traffic sampling is employed as a data reduction method.
In addition, it gives a higher weight to the current traffic sample as compared to the old traffic sample in the measurement as proposed in [27] in order to compute the MAG load precisely.
For the sake of scalability, we designed two different traffic sampling methods depending on the OpenFlow features available in the switches.
Traffic sampled from the network backbone using uniform packet sampling is commonly utilized to detect heavy hitters, estimate flow level statistics, as well as identify anomalies like DDoS attacks and worm scans.
Afterwards, each OBU i reports a list of PU traffic prediction samples to the RSU.
Ambient concentrations from local traffic were sampled for residential and occupational locations using a stratified random sampling scheme and small-area planning districts.
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