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Table 1.

Network size and computational environment of previous studies in closed queueing networks.

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Fig 1.

Flowchart of the parallel computation algorithm for Mean Value Analysis (MVA) using Message Passing Interface (MPI).

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Fig 1 Expand

Fig 2.

Flowchart of the event-driven parallel simulation algorithm for BCMP queueing networks.

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Fig 2 Expand

Table 2.

Massively parallel computing environment for MVA.

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Table 2 Expand

Table 3.

Results with 128 parallels and various values of N, C, and K.

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Table 3 Expand

Fig 3.

Change in computation time for an increase in number of nodes N and number of people in system K (C = 3).

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Fig 3 Expand

Fig 4.

Variation of computation time with respect to N (K = 500,C = 3).

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Fig 4 Expand

Fig 5.

Variation of computation time with respect to K (N = 33,C = 3).

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Fig 5 Expand

Table 4.

Computation time with different number of parallels (N = 33,C =3,K = 500).

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Table 4 Expand

Table 5.

Simulation accuracy for varying C when N = 33,K = 500.

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Table 5 Expand

Table 6.

Simulation accuracy for varying N and K when C = 3 (Eq(12)).

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Table 6 Expand

Table 7.

The change in the value of Eq (10) for the number of classes C ≥ 4 (N = 33, K = 500, ε = 0.01).

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Table 7 Expand

Fig 6.

Root-mean-square error of simulation relative to theoretical value, plotted against the mean of the standard deviation of the number of customers in the mean system for each simulation.

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Fig 6 Expand