Titlebook: Applied System Simulation; Methodologies and Ap Mohammad S. Obaidat,Georgios I. Papadimitriou Book 2003 Kluwer Academic Publishers 2003 mod

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P. Nansen,R. Jess J?rgensen,E. J. L. Soulsbyarchitects make the appropriate choices for the designed system. The development of computer system models and their analysis is a necessary step in this process. Simulation is an indispensable tool in this process. In this chapter, we present the main goals, methodologies and tool architectures for

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K. Bairden,J. L. Duncan,J. Armourd in these two multiprocessor system types which address different aspects of the scheduling problem. It is shown that simulation is a valuable tool used by many researchers to evaluate the performance of different scheduling methods.

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P. Nansen,R. Jess J?rgensen,E. J. L. Soulsbypredict the performance of a wireless network‘s architecture, protocol, device, topology, etc. It is a cost-effective and flexible technique to performance evaluation of wireless systems. This chapter aims at reviewing the main aspects of wireless systems including wireless node object model, radio

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https://doi.org/10.1007/978-3-642-85063-9sed for such modeling and simulation tasks are presented and critiqued. A complete discussion on the methods associated with transceiver simulation and modeling, specifically multi-standard wireless, is presented.

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C. Covarrubias,V. Valdivieso,F. Nervind generic environment for modeling and simulation applications employing single workstation, distributed, and real-time platforms. Soft computing is a consortium of tools for natural intelligence stemming from approximate reasoning (fuzzy logic), learning (neural network or stochastic learning auto

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L. Capocaccia,G. Ricci,A. F. Attili or too costly to employ. The construction of a computer simulation model involves the development of a model that represents important aspects of the system under evaluation. Once validated, the model can be used to study the effects of variations in system inputs, differences in initial conditions