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dc.identifier.urihttp://hdl.handle.net/11401/78367
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degreeen_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.format.mimetypeApplication/PDFen_US
dc.language.isoen_US
dc.typeDissertation
dcterms.abstractThis thesis mainly studies perfect simulation methodology for the time-varying queueing systems including time varying queue with a single server ($M_t/G_t/1$ and G_t/G/1) and time-varying queue with multi-servers ($G_t/G/c$). Firstly, we introduce how to simulate the $M_t/G_t/1$ queue by an auxiliary process and then proposed a perfect sampling algorithm for it, which works effectively verified by numerical results. Secondly, two perfect sampling algorithms for the $G_t/G/1$ queue are proposed. One of them is based on a technique called Dominated Coupling From The Past (DCFTP), which was given by proposed by Propp and Wilson in 1996, by taking the Vacation System (VS) as a dominant queue. The other one shows how can $G_t/G/1$ be sampled directly without any dominant queues. Besides, corresponding numerical results are reported in the end to show the effectiveness of the algorithms. At last, we give two perfect sampling algorithms for $G_t/G/c$ queue. Both of them takes advantage of the DCFTP technique but with different dominant queues, which are the VS model and $G_t/G/c$ under Random Assignment (RA) discipline. The accuracy and efficiency of the algorithms are verified by corresponding numerical experiments. Moreover, the performances for VS and RA models are compared in the end, which shows that for large $c (=10)$, RA model performs better than VS.
dcterms.available2018-07-09T14:28:03Z
dcterms.contributorXing, Haipengen_US
dcterms.contributorHu, Jiaqiaoen_US
dcterms.contributorChen, Xinyun.en_US
dcterms.contributorGandhi, Anshulen_US
dcterms.contributorSasansuma, Katsunobu.en_US
dcterms.creatorShi, Xianjun
dcterms.dateAccepted2018-07-09T14:28:03Z
dcterms.dateSubmitted2018-07-09T14:28:03Z
dcterms.descriptionDepartment of Applied Mathematics and Statistics.en_US
dcterms.extent105 pg.en_US
dcterms.formatMonograph
dcterms.identifierhttp://hdl.handle.net/11401/78367
dcterms.identifierSHI_grad.sunysb_0771E_13347.pdfen_US
dcterms.issued2017-08-01
dcterms.languageen_US
dcterms.provenanceSubmitted by Jason Torre (fjason.torre@stonybrook.edu) on 2018-07-09T14:28:03Z No. of bitstreams: 1 SHI_grad.sunysb_0771E_13347.pdf: 2442796 bytes, checksum: 16e5f4d9989e3f3dec522db4deabf203 (MD5)en
dcterms.provenanceMade available in DSpace on 2018-07-09T14:28:03Z (GMT). No. of bitstreams: 1 SHI_grad.sunysb_0771E_13347.pdf: 2442796 bytes, checksum: 16e5f4d9989e3f3dec522db4deabf203 (MD5) Previous issue date: 2017-08-01en
dcterms.subjectApplied mathematics
dcterms.subjectDCFTP
dcterms.subjectPerfect Sampling
dcterms.subjectOperations research
dcterms.subjectQueueing System
dcterms.subjectRandom Assignment
dcterms.subjectTime-Varying
dcterms.subjectVacation System
dcterms.titlePerfect Sampling for Queueing Systems
dcterms.typeDissertation


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