Network Performance Evaluation

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Instructor:
Course Venue:

GIS Laboratory

CIT Block B
GIS Lab
College of Computing and Information Sciences

   

Course Code: 
MCN 7208
Course Credit Units: 
3
Semester: 
Semester 1
Year of Study: 
Year 2
Undergraduate or Graduate Level: 
Graduate Level
Department: 
Course Discipline: 
Course Description & Objectives: 

This course unit shall cover areas in probability theory, random  processes, Markov  Chains  (dis- crete and continuous), queuing theory (M/M, M/G queues),  scheduling  policies; preemptive, non- preemptive, priority scheduling, sized based scheduling.  Analysis of networks of queues, mean value analysis (MVA), simulation models, network measurement techniques , and workload characteriza- tion.Aims:Networked  systems are highly dynamic  in nature. They  transport traffic that constitute highly varying workloads due to multitude of applications they support.  Understanding the nature of networked systems is therefore crucial in analyzing and evaluating their performances  and very important in designing these systems at different workload characteristics.  The goal of this course is provide the fundamental and essential techniques for analyzing networked systems.  Furthermore, students will learn some techniques for network simulation, measurements and  modeling of traffic and user behaviors.     

Learning Outcomes: 

Students completing this course will obtain in-depth theoretical understanding of analytical tech- niques that are used to analyze the performance of communication networks.  Successful completion of students in this course unit will enable them to deploy modeling techniques to characterize vari- ous features that emerge in communication networks such as traffic workload, user characterization, measurements, etc.  In general, successful learners  of this course will obtain research  skills that are very important in conducting research  and  in better comprehending published  research  results in computer communications areas.   

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