Distributed system analysis Client/server system Let us consider a client/server system where a server station receives requests from client stations, processes the request and replies to the client station. The i-th client-station generates requests following an exponential distribution with rate A, and the transmission time of the request to the server is also exponentially distributed with parameter 4. Other times, all assumed exponentially distributed, are: the time to process a request from the i-th client (rate n), and the reply transmission time (rate 3 for all the clients). Assuming that the requests to the server are managed according to a First In First Out policy, and the server is able to buffer three requests at most, evaluate:

Distributed system analysis Client/server system Let us consider a client/server system where a server station receives requests from client stations, processes the request and replies to the client station. The i-th client-station generates requests following an exponential distribution with rate A, and the transmission time of the request to the server is also exponentially distributed with parameter 4. Other times, all assumed exponentially distributed, are: the time to process a request from the i-th client (rate n), and the reply transmission time (rate 3 for all the clients). Assuming that the requests to the server are managed according to a First In First Out policy, and the server is able to buffer three requests at most, evaluate:

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? O A. The variable "weekly time spent watching television" is likely uniform, not normally distributed. O B. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O C. The variable "weekly time spent watching television" is likely normally distributed. O D. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. O E. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for…
Life Expectancies Is there a relationship between the life expectancy for men and the life expectancy for women in a given country? A random sample of nonindustrialized countries was selected, and the life expectancy in years is listed for both men and women. Are the variables linearly related? Men 60.2, 43.9, 59.8, 66.1, 68.4, 64.8 Women 60.0, 43.8, 56.6, 72.7, 63.5, 66 Draw the scatter plot for the variables. Compute the value of the correlation coefficient r= state the hypothesis h0: h1: critical value(s) reject or accept the null hypothesis Give a brief explanation of the type of relationship
Disposable income is the amount left after taxes have been paid and is one measure of health of the economy. The table gives the total disposable income for a country, in billions of dollars, for selected years from 2010 and projected to 2040. Year Income2010 10.5582015 11.5722020 12.3532025 14.7642030 15.3882035 17.8182040 19.183 b. Find a linear model that models the data, where x is the number of years after 2000 and y is the total disposable income in billions of dollars.
Scenario: A researcher wants to determine whether the volume of orders placed, in thousands, can predict whether an entry error was committed (yes or no). Which research analysis is most appropriate? Group of answer choices a. ANOVA b. Binary Logistic Regression c. Chi-square Contingency Table d. Non-parametric e. Regression
ONLINE ASSIGNMENT 1 (1) Adnan is the branch manager at a local insurance company. Recently, Adnan's been receiving customer feedback saying that the wait times for a client to be served by a customer service representative are too long. Adnan decides to observe and write down the time spent by each customer on waiting. Here are his findings from observing and writing down the wait times spent by 42 customers: 43.1 43.5 42.2 54.1 40.4 42.1 31.1 31.4 45.1 35.6 40.3 45.5 45.6 36.3 45.3 32.3 40.2 43.4 37.6 50.2 30.3 36.5 50.1 30.2 32.4 37.5 36.5 47.3 31.4 43.1 47.2 31.3 47.1 43.2 45.3 31.2 45.2 30.2 31.6 45.1 32.6 54.2
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The table gives heavy - metal nuclear waste (in thousands of metric tons) from spent reactor fuel now stored temporarily at reactor sites, awaiting permanent storage. Waste y Year x 1995 32 2000 42 2010 61 2020 76 Let x = 0 represent 1995, x = 5 represent 2000 (since 2000 - 1995 = 5), and so on. a) For 1995, the ordered pair is (0, 32). Write the ordered pair for the data for the other years given in the table. b) Plot the ordered pairs (x,y). Do the points lie approximately in a straight line? c) Use the ordered pairs (0, 32) and (25, 76) to find the equation of a line that approximates the other ordered pairs. Write the equation in slope - intercept form and in standard form. d) Use the slope - intercept equation form from part (c) to estimate the amount of nuclear waste in 2005.
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Breakfast cereals We saw in Chapter 7 that the calorie con-tent of a breakfast cereal is linearly associated with its sugar content. Is that the whole story? Here’s the output of aregression model that regresses Calories for each serving onits Protein(g), Fat(g), Fiber(g), Carbohydrate(g), andSugars(g) content.Dependent variable is CaloriesR-squared = 84.5, R-squared (adjusted) = 83.4,s = 7.947 with 77 - 6 = 71 degrees of freedomSource Sum ofSquares dfMeanSquare F-RatioRegression 24367.5 5 4873.50 77.2Residual 4484.45 71 63.1613Variable Coefficient SE(Coeff) t-Ratio P-ValueIntercept 20.2454 5.984 3.38 0.0012Protein 5.69540 1.072 5.32 60.0001Fat 8.35958 1.033 8.09 60.0001Fiber -1.02018 0.4835 -2.11 0.0384Carbo 2.93570 0.2601 11.3 60.0001Sugars 3.31849 0.2501 13.3 60.0001Assuming that the conditions for multiple regressionare met,a) What is the regression equation?b) Do you think this model would do a reasonably goodjob at predicting calories? Explain.c) To check the conditions, what…
Part D. Data from the Statistical Abstract of the United States provides a panel data collected at the state level in 1987 and 1990. These data are used to estimate MODEL 1: The variables used in the analysis are: infmort is number of deaths within the year per 1,000 live births Ipcinc is natural log of per capita income Ipopul is natural log of the population (the population is in thousands) Iphysic is natural log of physicians per 100,000 inhabitants d90 is year dummy for 1990. For questions 1 to 4 you can assume that MLR 1-4 are satisfied. A 1. Use the Stata output below to interpret ß3. Test at a 5% significance level whether the number of physicians per capita has any effect on infant mortality rate. reg infmort 1pcinc 1popul 1physic d90 Source Model Residual Total infmort infmort = Po + B₁lpcinc + B₂lpopul + ß3lphysic + 8₁ d90 + u SS 78.0499129 350.452136 428.502049 df . 19.5124782 4 97 3.61290862 Coef. Std. Err. MS 101 4.24259454 1pcinc -4.693354 1.638132 1popul - .0551426…
Assuming that cars arrive at a toll, on average, every 0.5 minutes, and the toll has only one payment window, and both the time between arrivals and the time between calls follow an exponential distribution. The toll attendant takes an average of 0.3 minutes to collect. Calculate the system performance measures, ie the car arrival rate and the toll service rate.