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By Mohammed S. Obaidat, Noureddine A. Boudriga

The in simple terms singular, all-encompassing textbook on state of the art technical functionality evaluation

Fundamentals of functionality review of laptop and Telecommunication structures uniquely offers all suggestions of functionality assessment of desktops platforms, verbal exchange networks, and telecommunications in a balanced demeanour. Written by means of the popular Professor Mohammad S. Obaidat and his coauthor Professor Noureddine Boudriga, it's also the one source to regard desktop and telecommunication structures as inseparable concerns. The authors clarify the fundamental options of functionality overview, purposes, functionality assessment metrics, workload varieties, benchmarking, and characterization of workload. this can be through a evaluate of the fundamentals of chance idea, after which, the most innovations for functionality evaluation—namely size, simulation, and analytic modeling—with case reviews and examples.

  • Contains the sensible and appropriate wisdom worthwhile for a profitable functionality evaluate in a balanced approach

  • Reviews dimension instruments, benchmark courses, layout of experiments, site visitors types, fundamentals of queueing conception, and operational and suggest price analysis

  • Covers the innovations for validation and verification of simulation in addition to random quantity new release, random variate iteration, and trying out with examples

  • Features various examples and case reports, in addition to workouts and difficulties to be used as homework or programming assignments

Fundamentals of functionality overview of laptop and Telecommunication platforms is a perfect textbook for graduate scholars in laptop technological know-how, electric engineering, desktop engineering, and knowledge sciences, know-how, and platforms. it's also an exceptional reference for working towards engineers and scientists.

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Extra resources for Fundamentals of Performance Evaluation of Computer and Telecommunications Systems

Example text

Thus, X assigns a real value to every element of the 30 PROBABILITY THEORY REVIEW sample space. This process enables statistics to be conveniently computed over a probability space. In the sequel, we will consider only real-valued random variables: X : O ! R: Three types of random variables can be considered: discrete, continuous, and mixed variables. A discrete random variable takes only isolated values with nonzero probabilities. The number of values it is allowed to take may be infinite, but they should be countable.

I¼1 ¼ n P k¼1 n 1 P P À i¼1 n 1 ioj P Prðbi Þ À 1 ¼1À 2 nn Prðbi \ bj Þ 1 ioj n   n 1 2 n2 ! 1 À 12 ¼ 12 Example. Three optical packets A, B, and C, are contending for an output port, in a switch node. We assume that one and only one packet can get through the port. The sample space may be taken as the 3-element set O = {A,B,C}, where each element corresponds to the outcome of that candidate’s getting into the output port. Suppose that A and B have the same chance of winning, and that C has only 1/2 the chance of A or B.

Then we reviewed the main application areas and techniques. Workload characterization and benchmarking were addressed along with examples. REFERENCES 19 REFERENCES [1] M. S. Obaidat, and G. I. ), ‘‘Applied System Simulation: Methodologies and Applications,’’ Springer, New York; 2003. [2] R. Jain, ‘‘The Art of Computer Systems Performance Analysis,’’ Wiley, New York, 1991. [3] K. Kant, ‘‘Introduction to Computer System Performance Evaluation,’’ McGraw Hill, New York, 1992. [4] D. J. Lilja, ‘‘Measuring Computer Performance,’’ Cambridge University Press, Cambridge, UK, 2000.

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