東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A hybrid systems modeling framework ...

Lee, Junsoo.

Linked to FindBook

Google Book

Amazon

博客來

A hybrid systems modeling framework for transport protocols.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A hybrid systems modeling framework for transport protocols./
Author:	Lee, Junsoo.
Description:	123 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4669.
Contained By:	Dissertation Abstracts International65-09B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3145230
ISBN:	0496047698

A hybrid systems modeling framework for transport protocols.
Lee, Junsoo.

A hybrid systems modeling framework for transport protocols. - 123 p.

Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4669.

Thesis (Ph.D.)--University of Southern California, 2004.

We present a scalable hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use averaging to continuously approximate discrete variables such as congestion window and queue size. Because averaging occurs over short time intervals, one still models discrete events such as the occurrence of a drop and the consequent reaction (e.g., congestion control). The proposed hybrid systems modeling framework fills the gap between packet-level and fluid-based models: by averaging discrete variables over a very short time scale (on the order of a round-trip time), our models are able to capture the dynamics of transient phenomena fairly accurately. This provides significant flexibility in modeling various congestion control mechanisms, different queuing policies, multicast transmission, etc. We validate our hybrid modeling framework by comparing simulations of the hybrid models against packet-level simulations. We find that the probability density functions produced by ns-2 and our hybrid model match very closely with an L1-distance. We also present complexity analysis of ns-2 and the hybrid model. These tests indicate that hybrid models are considerably faster. Finally, we provide software tools for the design, analysis, and evaluation of large-scale computer networks and their protocols.

ISBN: 0496047698Subjects--Topical Terms:

626642
Computer Science.

A hybrid systems modeling framework for transport protocols.
LDR:02239nmm 2200265 4500 001 1846849
005 20051103093554.5
008 130614s2004 eng d
020 $a 0496047698
035 $a (UnM)AAI3145230
035 $a AAI3145230
040 $a UnM $c UnM
100 1 $a Lee, Junsoo. $3 1934942
245 1 2 $a A hybrid systems modeling framework for transport protocols.
300 $a 123 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4669.
500 $a Adviser: Katia Obraczka.
502 $a Thesis (Ph.D.)--University of Southern California, 2004.
520 $a We present a scalable hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use averaging to continuously approximate discrete variables such as congestion window and queue size. Because averaging occurs over short time intervals, one still models discrete events such as the occurrence of a drop and the consequent reaction (e.g., congestion control). The proposed hybrid systems modeling framework fills the gap between packet-level and fluid-based models: by averaging discrete variables over a very short time scale (on the order of a round-trip time), our models are able to capture the dynamics of transient phenomena fairly accurately. This provides significant flexibility in modeling various congestion control mechanisms, different queuing policies, multicast transmission, etc. We validate our hybrid modeling framework by comparing simulations of the hybrid models against packet-level simulations. We find that the probability density functions produced by ns-2 and our hybrid model match very closely with an L1-distance. We also present complexity analysis of ns-2 and the hybrid model. These tests indicate that hybrid models are considerably faster. Finally, we provide software tools for the design, analysis, and evaluation of large-scale computer networks and their protocols.
590 $a School code: 0208.
650 4 $a Computer Science. $3 626642
690 $a 0984
710 2 0 $a University of Southern California. $3 700129
773 0 $t Dissertation Abstracts International $g 65-09B.
790 1 0 $a Obraczka, Katia, $e advisor
790 $a 0208
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3145230