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Simulation results prove the satisfactory responsiveness of our IDMS solution in a small scale scenario, as well as its consistent behavior, when using each one of the deployed architectural schemes.
Although it is known that anthrax spores can survive for long periods of time in the environment, we consider a small scale scenario.
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The heuristics is verified within 2% average approximation to the MILP solutions under small scale scenarios, and the numerical results of the design and planning problem heuristic show that significant power savings up to 55% in MG-OTNs can be achieved with the proper selection of the wavelength capacity, waveband size, number of wavebands per fiber, and the value of the optical reach.
An evaluation of the Cloud Coordinator prototype running in a small-scale scenario shows the effectiveness of the proposed approach and its impact on elastic applications.
In this section, we use a small-scale scenario, denoted as scenario 0, as an example to illustrate the procedure of the proposed algorithm.
Considering that the scale and configuration of a network placement may affect the performance of a network planning, we investigate a number of small-scale scenarios.
Using the proposed approach compared to route calculation through A* algorithm with static information (i.e., link length), drivers achieve lower travel times in small-scale scenarios.
Additionally, our approach is to provide the option to use a detailed analysis of small-scale scenarios as a foundation to enable the analysis of large systems.
memory I 3058 2419 8423 127.59 MB II 9371 6843 26418 736.74 MB III 24873 18397 72629 7851.38 MB Table 6 Comparison analysis of small-scale scenarios Scenario I II III Scheme Gurobi Heuristic Gurobi Heuristic Gurobi Heuristic Obj.
Real experiments are conducted for small-scale scenarios that are used as a "proof of concept", while extensive simulations are performed for more complex scenarios to evaluate the algorithm performance.
According to Carrano et al. [10], unless the path discovery overhead is drastically reduced by increasing the efficiency of flooding mechanisms, the new standard may present a suitable behavior only for small-scale scenarios.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com