Overlap Times in Tandem Queues: Identically Distributed Station Case
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866914710299869184 |
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| author | Gao, Ruici Pender, Jamol |
| author_facet | Gao, Ruici Pender, Jamol |
| contents | In this paper, we investigate overlap times in a two-dimensional infinite server tandem queue. Specifically, we analyze the amount of time that a pair of customers spend overlapping in any station of the two dimensional tandem network. We assume that both stations have independent and identically distributed exponential service times with the same rate parameter $μ$. Our main contribution is the derivation of the joint tail distribution, the two marginal tail probabilities, the moments of the overlap times and the tail distribution of the sum of the overlap times in both stations. Our results shed light on how customers overlap downstream in serial queueing systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_01261 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Overlap Times in Tandem Queues: Identically Distributed Station Case Gao, Ruici Pender, Jamol Probability In this paper, we investigate overlap times in a two-dimensional infinite server tandem queue. Specifically, we analyze the amount of time that a pair of customers spend overlapping in any station of the two dimensional tandem network. We assume that both stations have independent and identically distributed exponential service times with the same rate parameter $μ$. Our main contribution is the derivation of the joint tail distribution, the two marginal tail probabilities, the moments of the overlap times and the tail distribution of the sum of the overlap times in both stations. Our results shed light on how customers overlap downstream in serial queueing systems. |
| title | Overlap Times in Tandem Queues: Identically Distributed Station Case |
| topic | Probability |
| url | https://arxiv.org/abs/2311.01261 |