東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

Stochastic modeling and dimensioning...

Tian, Wenhong.

FindBook

Google Book

Amazon

博客來

Stochastic modeling and dimensioning in all-optical networks.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Stochastic modeling and dimensioning in all-optical networks./
作者:	Tian, Wenhong.
面頁冊數:	52 p.
附註:	Adviser: Ken Mitchell.
Contained By:	Masters Abstracts International43-06.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1426020
ISBN:	9780542055256

Stochastic modeling and dimensioning in all-optical networks.
Tian, Wenhong.

Stochastic modeling and dimensioning in all-optical networks. - 52 p.

Adviser: Ken Mitchell.

Thesis (M.S.)--University of Missouri - Kansas City, 2005.

This work studies the stochastic modeling and performance analysis of all-optical networks with a focus on closed-form analytical solutions. For the modeling and performance analysis, extensive research has been done in wavelength-routed networks, some in optical burst-switched networks and in optical packet-switched networks. However, most of them are based on an approximate stationary analysis, only a few apply time-dependent transient analysis which may be appropriate for today's dynamically changing traffic load environment. Therefore, we introduce unified product-form methods based on time reversibility of Markov chains for stationary and transient analysis. For the stationary analysis, we introduce exact Markovian analytical tools to calculate blacking probabilities for short hop path and medium size networks in the literature; and then we propose the reduced-load approximation to large capacity loss networks. For the transient analysis, we propose methods which include exact and approximate solutions for the time-dependent blocking analysis of single link, single route and arbitrary network topologies. We consider the case there is full wavelength conversion in wavelength-routed networks. While modeling, we provide the dimensioning approaches where blocking probability is used as one of the QoS requirements.

ISBN: 9780542055256Subjects--Topical Terms:

626642
Computer Science.

Stochastic modeling and dimensioning in all-optical networks.
LDR:02184nam 2200277 a 45 001 973034
005 20110928
008 110928s2005 eng d
020 $a 9780542055256
035 $a (UnM)AAI1426020
035 $a AAI1426020
040 $a UnM $c UnM
100 1 $a Tian, Wenhong. $3 1296993
245 1 0 $a Stochastic modeling and dimensioning in all-optical networks.
300 $a 52 p.
500 $a Adviser: Ken Mitchell.
500 $a Source: Masters Abstracts International, Volume: 43-06, page: 2293.
502 $a Thesis (M.S.)--University of Missouri - Kansas City, 2005.
520 $a This work studies the stochastic modeling and performance analysis of all-optical networks with a focus on closed-form analytical solutions. For the modeling and performance analysis, extensive research has been done in wavelength-routed networks, some in optical burst-switched networks and in optical packet-switched networks. However, most of them are based on an approximate stationary analysis, only a few apply time-dependent transient analysis which may be appropriate for today's dynamically changing traffic load environment. Therefore, we introduce unified product-form methods based on time reversibility of Markov chains for stationary and transient analysis. For the stationary analysis, we introduce exact Markovian analytical tools to calculate blacking probabilities for short hop path and medium size networks in the literature; and then we propose the reduced-load approximation to large capacity loss networks. For the transient analysis, we propose methods which include exact and approximate solutions for the time-dependent blocking analysis of single link, single route and arbitrary network topologies. We consider the case there is full wavelength conversion in wavelength-routed networks. While modeling, we provide the dimensioning approaches where blocking probability is used as one of the QoS requirements.
590 $a School code: 0134.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
690 $a 0984
710 2 0 $a University of Missouri - Kansas City. $3 1021712
773 0 $t Masters Abstracts International $g 43-06.
790 $a 0134
790 1 0 $a Mitchell, Ken, $e advisor
791 $a M.S.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1426020