The networked server defense model is focused on reliability and availability in security respects. The
(remote) backup servers are hooked up by VPN (Virtual Private Network) with high-speed optical
network and replace broken main severs immediately. The networked server can be represent as
"machines" and then the system deals with main unreliable, spare, and auxiliary spare machine. During
vacation periods, when the system performs a mandatory routine maintenance, auxiliary machines are
being used for back-ups; the information on the system is naturally delayed. Analog of the N-policy to
restrict the usage of auxiliary machines to some reasonable quantity. The results are demonstrated in
the network architecture by using the stochastic optimization techniques.
KEYWORDS: Antennas, Signal attenuation, Mathematical modeling, Data modeling, Stochastic processes, Statistical analysis, Fourier transforms, Radiation effects, Electronics, Control systems
A microcell is a cell with 1-km or less radius which is suitable not only for heavily urbanized area such as a metropolitan city but also for in-building area such as offices and shopping malls. This paper deals with the microcell prediction model of propagation loss focused on in-buildng solution that is analyzed by probabilistic techniques. The RSL (Receive Signal Level) is the factor which can evaluate the performance of a microcell and the LOS (Line-Of-Sight) component and the blockage loss directly effect on the RSL. Combination of the probabilistic method is applied to get these performance factors. The mathematical methods include the CLT (Central Limit Theorem) and the SSQC (Six-Sigma Quality Control) to get the parameters of the distribution. This probabilistic solution gives us compact measuring of performance factors. In addition, it gives the probabilistic optimization of strategies such as the number of cells, cell location, capacity of cells, range of cells and so on. In addition, the optimal strategies for antenna allocation for a building can be obtained by using this model.
In this paper, the model is focused on available server management in network environments. The (remote) backup servers are hooked up by VPN (Virtual Private Network) and replace broken main severs immediately. A virtual private network (VPN) is a way to use a public network infrastructure and hooks up long-distance servers within a single network infrastructure. The servers can be represent as "machines" and then the system deals with main unreliable and random auxiliary spare (remote backup) machines. When the system performs a mandatory routine maintenance, auxiliary machines are being used for backups during idle periods. Unlike other existing models, the availability of auxiliary machines is changed for each activation in this enhanced model. Analytically tractable results are obtained by using several mathematical techniques and the results are demonstrated in the framework of optimized networked server allocation problems.
A microcell is a cell with 1-km or less radius which is suitable for heavily urbanized area such as a metropolitan city. This paper deals with the microcell prediction model of propagation loss which uses probabilistic techniques. The RSL (Receive Signal Level) is the factor which can evaluate the performance of a microcell and the LOS (Line-Of-Sight) component and the blockage loss directly effect on the RSL. We are combining the probabilistic method to get these performance factors. The mathematical methods include the CLT (Central Limit Theorem) and the SPC (Statistical Process Control) to get the parameters of the distribution. This probabilistic solution gives us better measuring of performance factors. In addition, it gives the probabilistic optimization of strategies such as the number of cells, cell location, capacity of cells, range of cells and so on. Specially, the probabilistic optimization techniques by itself can be applied to real-world problems such as computer-networking, human resources and manufacturing process.
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