Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/77740
DC Field | Value | Language |
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dc.contributor | 應數系 | - |
dc.creator | Yen, Yuan Heng;Luh, Hsing Paul, Wang, Chia-Hung | - |
dc.creator | 顏源亨 | - |
dc.date | 2011-08 | - |
dc.date.accessioned | 2015-08-19T08:56:18Z | - |
dc.date.available | 2015-08-19T08:56:18Z | - |
dc.date.issued | 2015-08-19T08:56:18Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/77740 | - |
dc.description.abstract | Stationary probabilities are fundamental in response to various measures of performance in queueing networks. Solving stationary probabilities in Quasi-Birth-and-Death (QBD) with phase-type distribution normally are dependent on the structure of the queueing network. In this paper, a new computing scheme is developed for attaining stationary probabilities in queueing networks with multiple servers. This scheme provides a general approach of considering the complexity of computing algorithm. The result becomes more significant when a large matrix is involved in computation. The background theorem of this approach is proved and provided with an illustrative example in this paper. | - |
dc.format.extent | 392592 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation | Queueing Theory and Network Applications, 2011, 193-207 | - |
dc.subject | markov processes; multiple servers; performance; phase-type distribution; queueing theory; stationary probability | - |
dc.title | A matrix decomposition approach for solving state balance equations of a phase-type queueing model with multiple servers | - |
dc.type | conference | en |
dc.identifier.doi | 10.1145/2021216.2021244 | - |
dc.doi.uri | http://dx.doi.org/10.1145/2021216.2021244 | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | conference | - |
item.grantfulltext | restricted | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | 會議論文 |
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193-207.pdf | 383.39 kB | Adobe PDF2 | View/Open |
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