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423 Repeat the analysis in Exercise 422 when the repair time is H2 distributed with parameters (p1 , 1 , p2 , 2 ) rather than Erlang (R, ) distributed Verify that the results remain the same when we take R = 2 and replace the matrix Q by p1 p2 Q = 1 1 0 2 0 2 424 At a facility for train maintenance, work is done on a number of separate parallel tracks On each of these tracks there is room for two trains on a front part and a back part Trains can leave the tracks only on the same side they enter the tracks That is, upon completion of its maintenance a train may be locked in by another train that arrived later on the same track but has not yet completed its maintenance For each of the tracks there are two maintenance crews, one for the train at the front part of the track and one for the train at the back Trains requesting maintenance arrive at the maintenance facility according to a Poisson process with rate A train immediately receives maintenance when it nds a free place at one of the tracks upon arrival; otherwise, the train waits until a maintenance place becomes free A newly arriving train is directed to a front part if both a front part and a back part are free The amount of time needed to serve a train has an exponential distribution with mean 1/ It is assumed that < 3 c 2 (a) Formulate a continuous-time Markov time chain for the performance evaluation of the maintenance track (b) Argue that the geometric tail approach can be used to reduce the in nite system of equilibrium equations to a nite system of linear equations This problem is based on Adan et al (1999).

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The theory of continuous-time Markov chains is more delicate than the theory of discrete-time Markov chains Basic references are Anderson (1991) and Chung (1967) The continuous-time Markov chain model is the most versatile model in applied probability The powerful technique of equating the ow out of a state to the ow into that state has a long history and goes back to the pioneering work of Erlang on stochastic processes in the early 1900s; see also Kosten (1973) The uniformization technique for the transient analysis of continuous-time Markov chains goes back to Jensen (1953) and is quite useful for both analytical and computational purposes The extension of the uniformization method to compute the transient probability distribution of the sojourn time in a given set of states is due to De Soua e Silva and Gail (1986) The material in Section 462 for the computation of the transient reward distribution is based on Goyal and Tantawi (1988) and Tijms and Veldman (2000); see also Sericola (2000) for an alternative method The Hubble telescope problem from Example 453 is taken from Hermanns (2001)

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Adan, IJBF and Resing, JAC (1999) A class of Markov processes on a semi-in nite strip In Proc 3rd International Meeting on the Numerical Solution of Markov Chains, edited by B Plateau, WJ Stewart and M Silva, pp 41 57 Zaragoza University Press

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3GPP TS 23278 [93] this speci cation describes the technical implementation of CAMEL control of IP multimedia calls; 3GPP TS 29278 [111] this speci cation speci es the CAP for CAMEL control of IP multimedia calls Besides the above CAMEL-speci c 3GPP technical speci cations, various other non-CAMEL speci c 3GPP technical speci cations contain CAMEL functionality, such as 3GPP TS 29002 [103] (MAP), 3GPP TS 23018 [75] (basic call handling), 3GPP TS 32205 [117] (CDR formats), etc Any reference to a 3GPP technical speci cation or technical report in the present section relates to 3GPP Rel-5, unless otherwise indicated 612 Partial CAMEL Phase 4 Support For CAMEL phases 1 3 the full CAMEL support principle applies to core network nodes MSC, GMSC and SGSN This principle implies the following: When an MSC or GMSC indicates to HLR, eg during location update or data restoration, that it supports a particular CAMEL phase, then that MSC or GMSC will support the full capability set that is speci ed for that CAMEL phase, in as far as applicable to the MSC or GMSC When an MSC or GMSC initiates a CAMEL dialogue with the gsmSCF, that MSC or GMSC will support the full capability set that is speci ed for the application context used for that CAMEL dialogue

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