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This interpolation formula is very useful and goes back to Cox (1955) 230 A professional cleaner in the harbour of Rotterdam is faced with the decision to acquire a new clean installation for oil tankers Oil tankers requiring a clean arrive according to a Poisson process with rate The amount of time needed to clean a tanker has a given probability distribution with mean and standard deviation when the standard Fadar installation is used Cleaning costs at a rate of c > 0 are incurred for each time unit this installation is in use However, it is also possible to buy another installation An installation that works z times as fast as the standard Fadar installation involves cleaning costs at a rate of cz2 per time unit In addition to the cleaning costs, a holding cost at rate of h > 0 is incurred for each tanker in the harbour What is the long-run average cost per time unit as function of z Assume that the cleaning installation can handle only one tanker at a time and assume that the cleaner has ample berths for tankers 231 Liquid is put into an in nite-capacity buffer at epochs generated by a Poisson process with rate The successive amounts of liquid that are put in the buffer are independent and identically distributed random variables with nite rst two moments 1 and 2 The buffer is emptied at a constant rate of > 0 whenever it is not empty Use the PASTA property to give an expression for the long-run average buffer content 232 Consider the M/G/1 queue with two types of customers Customers of the types 1 and 2 arrive according to independent Poisson processes with respective rates 1 and 2 The service times of the customers are independent of each other, where the service times of type i customers are distributed as the random variable Si having nite rst two moments Customers of type 1 have priority over customers of type 2 when the server is ready to start a new service It is not allowed to interrupt the service of a type 2 customer when a higher-priority customer arrives This queueing model is called the non-pre-emptive priority M/G/1 queue Letting i = i E(Si ), it is assumed that 1 + 2 < 1 (a) Use Little s formula to argue that the long-run fraction of time the server is servicing type i customers equals i for i = 1, 2 What is the long-run fraction of customers nding the server servicing a type i customer upon arrival (b) Extend the heuristic derivation of the Pollaczek Khintchine formula to show Wq1 =.

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i want to read a pdf file which contains empid and code for 100 nos..in front end i ll give specific empid..then the corresponding code has to be ...
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2 2 1 E(S1 ) + 2 E(S2 )

.

2(1 1 )

2(1 1 )(1 1 2 )

2 2 1 E(S1 ) + 2 E(S2 )

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ance, moderation, quietness, health, society, all agreeable diversions, and all desirable pleasures were the blessings of attending the middle station of life 23 It means, Walgreen explained it to his children, that if you re too poor, you can t be what you want to be nor do what you ought to do, and if you re too rich, you get worried about losing your money and belongings 24 By following the virtues extolled by the book, ironically, Walgreen would break his own rule and become too rich though it must be said the family has, on the whole, handled it much better than have other American dynasties At the dawn of the new decade, the Walgreen Company owned and operated 20 stores in the Chicago area, all but one on the South Side; but even that impressive growth, accomplished in just 10 years, was about to be dwarfed in the next decade by an explosive expansion program one fueled by milk shakes

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Reading PDF documents in . Net - Stack Overflow
7 Nov 2011 ... c# .net pdf ... Net so that it could crawl PDF . using System; using System.IO; using iTextSharp.text. pdf ; using System. ... StreamWriter outFile = null; try { // Create a reader for the given PDF file PdfReader reader ..... You could look into this: http:// www.codeproject.com/KB/showcase/pdfrasterizer. aspx It's not completely free, ...

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where Wqi is de ned as the long-run average waiting time in queue per type i customer for i = 1, 2 (c) Use Little s formula to give a direct argument for the result that the overall average waiting time Wq1 1 /( 1 + 2 ) + Wq2 2 /( 1 + 2 ) per customer is the same as the average waiting time per customer in the M/G/1 queue in which customers are served in order of arrival (view the non-pre-emptive priority rule as a rule that merely changes the order in which the customers are served) 233 Customers arrive at a single-server station according to a Poisson process with rate A customer nding the server idle upon arrival gets served immediately, otherwise the customer enters a so-called orbit A customer in orbit tries whether the server is idle after an

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