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A single queue system with c counters is modeled as the M/M/C system. In this system, the arrivals are assumed to be a Poisson distribution function with mean . Each counter has an independent and identical exponential service time distribution with mean given by = 1/ . Figure 10.6 shows a typical M/M/C queueing system having C counters. The first parameter is the arrival process, which is Markovian, and the second is the service process, which is also Markovian. The third parameter is the number of counters. In this illustration, an arriving customer in the queue is assigned to the first available counter. In order for the M/M/C system to have a statistical equilibrium, the offered load must satisfy / < C. The counter-utilization rate, or the traffic load , is then obtained as follows: = C (10.9)

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Figure 2.34: A collaboration diagram showing a collaboration that summarizes sales results. Use -Case Diagram Use cases capture the functional requirements on a system. They are defined through plain text. The use-case diagram summarizes which use cases are available and their relationships to each other. Use cases and use-case diagrams are formulated in terms of an actor and a system. An actor is a role that a user or another system has in relationship to the system. An actor always has some interest in using the functionality the system provides. A use case is one use of the system (information system, mechanical system) by an actor.

No matter how much preparation you do, you re never going to be able to predict and prepare for every single question that you can come across. And eventually you may get asked a question that you just don t have an answer for. Yes, even I, the great and powerful Dr Yeung, have occasionally been stumped by a question. Now, you may be tempted to apologise and say, I don t know. But you may as well just say, I m stupid and I can t think of an answer. I m a rubbish candidate. Throw my CV into the bin now!

Expecting the Unexpected Past attempts to remedy these problems have provided some incremental gains, yet the problems persist The cycle continues Companies have spent hundreds of millions of dollars on information technology They ve followed advice from the best business leaders and consultants, and still the cycle repeats itself It s true for businesses large and small Businesses today keep applying the same old solutions to their problems And they end up repeating these up-and-down cycles rather than planning for and performing well under bad conditions and putting themselves in a position to exploit the good times Today the problems facing businesses have shifted again The rules of business have changed again And companies globally are struggling to adapt quickly enough to exploit the new market conditions again Waiting outside the walls of every company are the shocks of unforeseen circumstances, be they from economic, regulatory, or geopolitical impacts.

In the context of a veri cation method, it is common to require that all the reachable markings of the studied net are represented in the nite pre x. Such a pre x is said to be complete. DEFINITION 13.10 (Complete nite pre x). A nite pre x Cuto of S, h is complete if A(Cuto ) = A(R, m0 ). 13.4.2. Adequate orders and complete nite pre xes It is now time to de ne suf cient conditions for obtaining this completeness. These conditions will cover the choice of cutoffs delimiting the nite pre x. An intuitive approach is to ensure that states represented in the wake of a cutoff have an image within the pre x. The rst successor marking corresponds to the one reached after ring the local con guration of the cutoff and, if it is already represented in the pre x, its successors should be. The formalization of this constraint consists of imposing on a pre x Cuto that e Cuto , C Conf(Cuto ) such that h(Cut([e])) = h(Cut(C)). From the earliest work on nite pre xes, McMillan [MCM 92] highlighted that this condition was not suf cient. The counter example 13.5, inspired by McMillan s demonstration and presented in Figures 13.4 and 13.5, illustrates this fact. EXAMPLE 13.5. Figure 13.4 shows a marked net and Figure 13.5 gives an initial part of its unfolding. For the conditions, only the labels were represented in the gure. The nite pre x Cuto = {e6 , e8 } (events represented in black) respects the constraint given above. Indeed, we have a c h([e ]) = + b + + d = h({e , e , e }) a2 c3 h([e8 ]) = + b3 + + b2 = h({e3 , e4 , e7 })

(14.67)

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