By Fayez Gebali (auth.)
This textbook offers the mathematical thought and methods useful for studying and modeling high-performance international networks, reminiscent of the net. the 3 major development blocks of high-performance networks are hyperlinks, switching apparatus connecting the hyperlinks jointly and software program hired on the finish nodes and intermediate switches. This ebook offers the fundamental options for modeling and examining those final elements. subject matters lined comprise, yet aren't constrained to: Markov chains and queuing research, site visitors modeling, interconnection networks and turn architectures and buffering strategies.
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Additional resources for Analysis of Computer Networks
3 graphically shows the steps leading to assigning a numerical value to the outcome of a random experiment. First we run the experiment then we observe the resulting outcome. Each outcome is assigned a numerical value. Assigning a numerical value to the outcome of a random experiment allows us to develop uniform analysis for many types of experiments independent of the nature of their specific outcomes . We denote a random variable by a capital letter (the name of the function) and any particular value of the random variable is denoted by a lowercase letter (the value of the function).
The multiplication principle states that there are 3 15 or 45 ways for the packet to travel through network A followed by network B. We can generalize the multiplication principle as follows. Suppose that N1 is the number of outcomes for doing experiment E1 , and N2 is the number of outcomes for doing experiment E2 , , and Nn is the number of outcomes for doing experiment , En is given En . 3. A die is thrown three times and the sequence of numbers is recorded. Determine the number of 3-digit sequences that could result.
120) But this probability must equal the probability that Y lies in the range y and y C dy. y/ is the pdf for the random variable Y and it was assumed that the function g was monotonically increasing with x. x/ are always positive. y/ is the pmf of the target random variable. 25. 26. t where the signal has a random frequency ! 1 Ä ! 2 . The frequency is represented by the random variable . 2 ! d! 133) We need to find fX and EŒX . For that we use the fundamental law of probability. x/ D 0 for jxj > 1: Now we can write: ˇ ˇ ˇ d!