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Motivation

Department of electrical engineering, Technion Networked software systems laboratory Eyal David, Noga Tamir Supervisor: Boris Oklander Lab engineer: Dr. Ilana David. Queuing Systems Simulator. Graphic User Interface. Motivation

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Motivation

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  1. Department of electrical engineering, Technion Networked software systems laboratory Eyal David, NogaTamir Supervisor: Boris Oklander Lab engineer: Dr. Ilana David Queuing Systems Simulator Graphic User Interface Motivation Queuing systems are very common in many aspects of our lives, including electrical, software, and networks engineering, in which there is great importance to the waiting time of the packets. Mathematical analysis of queuing systems is far from being simple, and becomes even harder, as the systems’ complexity grows. When mathematical analysis is not practical, there is a need for a quick and easy way to analyze the system – simulation. Sequence Diagram • Easy to use - no need for coding skills • Full access to all simulator functions • Save and load systems • Information bar for: • simulation state • errors • successful load or save • Goal • Design and implement a generic queuing systemssimulator , under the requirements: • Modular design – allows to construct of different systems, using the same building blocks. • Reasonable simulation time – finding an efficient update law for the system. • Memory efficient – simulate large number of packets without exceeding memory limitations. • Calculate the time in system, for each type of packets. • Allow saving to files the simulation information, and results. • Allow adding user defined calculations. • Graphic User Interface – easy to use. Simulations – System Time vs. rin Different Systems m=1 r=l/m m=1 l2=0.2 r=(l1+l2)m m=1 r=l/(5m) Class Diagram m=1 r=l/m Simulations – Accuracy vs. Simulation Length. • Summary • Simulation results fit the theory. • Longer simulations grant more • accurate results. • MISSION ACCOMPLISHED! m=1 m=1 l=1.6 m=1 m=1 l1=l2=0.4

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