Research on online EDI order scheduling optimization strategy in manufacturing enterprises based on time-varying Markov chains. [PDF]
Wulan Q.
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Reliability inference for multi-component stress-strength systems with heterogeneous Lomax-distributed components under progressive censoring. [PDF]
Kohansal A, Bakouch HS, Pakyari R.
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UAV Trajectory Control and Power Optimization for Low-Latency C-V2X Communications in a Federated Learning Environment. [PDF]
Fernando X, Gupta A.
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Translation and psychometric evaluation of the dental patient questionnaire (DPQ). [PDF]
Oshagh M, Davoudian M, Kazem M.
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Limitations of calculating theoretical solutions for closed BCMP queueing networks and verification of alternative theoretical values by parallel simulation. [PDF]
Mizuno S, Ohba H.
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Server pooling models for separate and bounded queues. [PDF]
Hindy Ling H, Etgar R, Bar-Gera H.
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Quantifying the Trajectory Tracking Accuracy in UGVs: The Role of Traffic Scheduling in Wi-Fi-Enabled Time-Sensitive Networking. [PDF]
Ferrari E +4 more
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Queuing system evolution in a diffusion approximation scheme
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Mamonova, A. V., Griza, Lu. F.
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Accuracy of the Diffusion Approximation for Some Queuing Systems
IBM Journal of Research and Development, 1974This paper presents the resulotsf a rather extensive study of the accuracy of the diffusion approximation technique as applied to queuing models. The motivef or using the diffusion process approximation here is to develope realistic analytical models of computing systems by considering service time distributions of a general form.
Reiser, M., Kobayashi, H.
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TLM modelling of the diffusion approximation of queuing system
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2001Summary: This paper provides an application of the TLM method to any queuing systems that can be approximated as a diffusion process. The TLM node has been extended in order to take into account the variables associated with the diffusion approximation of the queue, which is presented in Harrison, Patel, Performance Modelling of Communication Networks ...
Witwit, M., Ball, F.
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