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Proof First, Send is a feasible schedule, since the node order is a topological order according to Lemma 41 Without loss of generality, suppose that both schedules start at time unit 0 It then suf ces to show that tf ,Send (n) tf ,S (n) n V (see De nition 410 of schedule length) Since the processor allocations are identical for both schedules, communications that are remote in one schedule are also remote in the other schedule and likewise for the local communications Thus, the DRT tdr (n) of a node n can only differ between the schedules through different nish times of the predecessors (ie, through different start times) as the execution time is identical in both schedules By induction, it is shown now that ts,Send (n) ts,S (n) n V Evidently, this is true for the rst node to be scheduled, as it starts in both schedules at time unit 0 Now let Send,cur be a partial schedule of the nodes of Vcur of G, for which ts,Send,cur (n) ts,S (n) n Vcur is true For the node ni V, Vcur to be scheduled / next on processor procS (ni ) = P, it holds that tdr,Send,cur (ni , P) tdr,S (ni , P), with the above argumentation With the end technique, ni is cheduled at the end of the last node already scheduled on P But this cannot be later than in S, because the nodes on P in Send,cur are the same nodes that are executed before ni on P in S, due to the schedule order of the nodes, and, according to the assumption, no node starts later than in S Thus, ts,Send,cur (ni , P) ts,S (ni , P) for node ni By induction this is true for all nodes of the schedule, in particular, the last node, which proves the theorem.



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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 ime 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 ransient 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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