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Public Function ReadFile(strFileName As String) As String Dim fNum As Integer Dim strLine As String fNum = FreeFile Open strFileName For Input As #fNum 'Note: ReadFile = Input(LOF(fNum), fNum) is sufficient, 'here, but doesn't help with a concatenation demo Do Until OF(fNum) Line Input #fNum, strLine ReadFile = ReadFile & strLine & vbCrLf Loop Close #fNum End Function This code is intentionally poor, but you might be surprised at just how badly it runs Running this loop against VBoostBas (approximately 110K) takes about 21 seconds on my machine Using the alternative concatenation techniques we're about to discuss decreases that time to one-tenth of a second: a 21,000 percent performance gain The problem with this routine is that strings become increasingly expensive to allocate as they get larger If you just keep appending small pieces onto a larger string, you are actually allocating large strings for every & operator The test file (VBoostBas) has approximately 2,800 lines, and the function creates two cumulative strings per line for a total of 5,600 allocations By first concatenating the smaller strings and then adding them to the total string, you can reduce the size of the allocations and speed up the function You can give VB a big boost by adding parentheses to indicate which strings to combine first A simple change to the concatenation line decreases the time from 21 to 85 seconds This is still unacceptably slow, but it does show the importance of the allocation size in the performance equation The addition of the parentheses does not change the number of allocations, but has a large effect on performance ReadFile = ReadFile & (strLine & vbCrLf) OLE Automation has a string cache for small strings, so many small strings are pulled from the cache of previously allocated strings rather than from a new system allocation However, no string caching takes place above 64K The string.

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exactly one unit is placed each time the on-hand inventory decreases by one unit The lead times of the replenishments are independent and identically distributed random variables with mean Establish an equivalence with the Erlang loss model and give expressions for the long-run average on-hand inventory and the long-run fraction of demand that is lost 514 In an electronic system there are c elements of a crucial component connected in parallel to increase the reliability of the system Each component is switched on and the lifetimes of the components have an exponential distribution with mean 1/ The lifetimes of the components are independent of each other The electronic system is working as long as at least one of the components is functioning, otherwise the system is down A component that fails is replaced by a new one It takes an exponentially distributed time with mean 1/ to replace a failed component Only one failed component can be replaced at a time (a) Use a continuous-time Markov chain to calculate the long-run fraction of time the system is down Specify the transition rate diagram rst (b) Does the answer in (a) change when the replacement time of a failed component has a eneral probability distribution with mean 1/ (Hint : compare the transition rate diagram with the transition rate diagram in the Erlang loss model) 515 Reconsider Exercise 514 but this time assume there are ample repairmen to replace failed components (a) Use a continuous-time Markov chain to calculate the long-run fraction of time the system is down Specify the transition rate diagram rst (b) What happens to the answer in (a) when the replacement time is xed rather than exponentially distributed (Hint : compare the transition rate diagram with the transition rate diagram in the Engset loss model) 516 Suppose you have two groups of servers each without waiting room The rst group consists of c1 identical servers each having an exponential service rate 1 and the second group consists of c2 identical servers each having an exponential service rate 2 Customers for group i arrive according to a Poisson process with rate i (i = 1, 2) A customer who nds all servers in his group busy upon arrival is served by a server in the other group, provided one is free, otherwise the customer is lost Show how to calculate the long-run fraction of customers lost 517 Consider a conveyor system at which items for processing arrive according to a Poisson process with rate The service requirements of the items are independent random variables having a common exponential distribution with mean 1/ The conveyor system has two work stations 1 and 2 that are placed according to this order along the conveyor Workstation i consists of si identical service channels, each having a constant processing rate of i (i = 1, 2); that is, an item processed at workstation i has an average processing time of 1/( i ) Both workstations have no storage capacity and each service channel can handle only one item at a time An arriving item is processed by the rst workstation in which a service channel is free and is lost when no service channel is available at either of the stations Show how to calculate the fraction of items lost and solve for the numerical data = 10, = 1, 1 = 2, 2 = 15, s1 = 5 and s2 = 5 (Answer: 00306) Verify experimentally that the loss probability is nearly insensitive to the distributional form of the service requirement (eg compute the loss probability 00316 for the data when the service requirement has an H2 distribution with balanced means and a squared coef cient of variation of 4) 518 Consider a stochastic service system with Poisson arrivals at rate and two different groups of servers, where each arriving customer simultaneously requires a server from both groups An arrival not nding that both groups have a free server is lost and has no further in uence on the system The ith group consists of si identical servers (i = 1, 2) and each server can handle only one customer at a time An entering customer occupies the two assigned servers from the groups 1 and 2 during independently exponentially distributed times with respective means 1/ 1 and 1/ 2 Show how to calculate the loss probability.

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Whether you're taking a class or learning on the job, The Java(TM) Tutorial, Third Edition , is a handson guide that lets you quickly become proficient with the Java programming language Written by members of the Java Software team at Sun Microsystems, the book uses an interactive approach to help you learn the Java platform by example Since its first online release in 1995, the material in The Java(TM) Tutorial has been updated continuously to reflect reader feedback and new releases of the Java platform This third edition has been thoroughly updated to cover v13 of the Java Platform, Standard Edition, as well as preceding versions as early as JDK 11 You will find clear explanations of such fundamentals as objects, classes, and data structures In addition, the book provides introductions to object-oriented programming, applet construction, and user interface design Other topics include exceptions, I/O, and threads To help beginners avoid many common mistakes, an entire chapter is devoted to programming problems and their solutions Convenient summaries at the end of each section are new to this edition Also new for this edition are "Questions and Exercises" sections to help you practice what you learn After working through the lessons in this proven tutorial, you will be well prepared to use the Java programming language in our school or workplace.

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