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GSSMS can save more energy for Half-Far/Half-Near traffic at a given traffic rate because Half-Far/Half-Near traffic has lower traffic routing through Spine switches.
The simulations for Sine-Wave-Far (Sine-Far) and Sine-Wave-Half-Far/Half-Near (Sine-Half/Half) traffic produce similar results, except that the value of ANASS and PF at a given traffic rate is smaller than that for the Uniform-Far and Uniform-Half/Half scenarios.
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In the Sine-Wave traffic case, the traffic rate at a given time varies as a sine wave, and the traffic rate assigned as the traffic rate for each traffic source is the maximum traffic rate.
The traffic rate at a given time can reach the maximum traffic rate during only one fifth of the simulation time.
To identify whether or not a detection window at a given scale contains a traffic sign, multiple SVM classifiers are used, each classifying the detection in a one-vs.-all scheme.
Thus, the number of active Spine switches of GSSMS for Half-Far/Half-Near traffic at a given time is lower than that for Far traffic.
Because GSSMS does not activate Spine switches immediately, it is possible that the network does not have enough available bandwidth for the traffic at a given time; hence failures occur on the system.
Secondly, the size of the data returning from the controller is also very small as compared to the size of the data buffered in the queue, i.e., controller returns only a single packet at a given time instance while the traffic at switch arrives in the form of multiple flows containing a large number of data packets.
4: At a given time instant where the traffic loads are (λ 0v [m],λ 0d [m]), one of the carriers will be switched off if there exists a point in the threshold frontier, (λ 0v,T,λ 0d,T )∈λ TH, such that λ 0v,T ≥λ 0v [m] and λ 0d,T ≥λ 0d [m].
The problem of clustering in urban traffic networks has been mainly studied in static framework by considering traffic conditions at a given time.
Meanwhile, based on the estimated CR models, road administrators can easily image the safety performance with the variation of traffic conditions at a given facility type.
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