| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font
First page > Show document

Show document Help

Title:METODE STATISTIČNEGA MODELIRANJA IZMERJENEGA OMREŽNEGA PROMETA ZA NAMENE SIMULACIJ
Authors:ID Fras, Matjaž (Author)
ID Čučej, Žarko (Mentor) More about this mentor... New window
ID Mohorko, Jože (Comentor)
Files:.pdf DR_Fras_Matjaz_2009.pdf (8,14 MB)
MD5: 8CB2D238D9AC747563977707D3D7AD25
PID: 20.500.12556/dkum/82b1fb0b-d3b6-4848-aaaa-41ef9a8e5b4c
 
Language:Slovenian
Work type:Dissertation
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Doktorska disertacija je s področja modeliranja, vrednotenja in simulacij telekomunikacijskih omrežij. Kot cilj smo si zadali razvoj novih metod modeliranja omrežnega prometa, ki predstavljajo zelo pomemben segment simulacij komunikacijskih omrežij. Pri modeliranju prometa, za simulacijske namene, smo kot izhodišče izbrali v realnih omrežjih izmerjeni promet, katerega statistične lastnosti želimo s predlaganimi modeli čim bolj verno posnemati. V doktorski tezi je izpostavljenih več originalnih prispevkov k znanosti. Prva dva se nanašata na dve predlagani metodi ocenjevanja parametrov statističnega modela podatkovnih virov: metoda s posnemanjem defragmentacije paketov ter metoda s primerjavo histogramov. Znotraj druge metode smo identificirali še en pomemben originalni prispevek, ki ga predstavlja analitični model fragmentacije prometa podatkovnih virov. Kot četrti originalni prispevek smatramo modificiran hi kvadrat test, ki bolje kot nekateri drugi znani testi, ovrednoti odstopanje med modeliranim in izmerjenim prometom. V doktorski tezi predstavljene algoritme in metode smo implementirali v programskem orodju TraffMod. S pomočjo tega orodja, v povezavi s simulatorjem OPNET Modeler, smo opravili obširne raziskave, na osnovi katerih smo potrdil uporabnost razvitih metod ter veljavnost omejitev in pogojev pod katerimi posamezne metode dajo uporabne rezultate.
Keywords:omrežni promet, modeliranje, simulacije, naključni proces, porazdelitev verjetnosti
Place of publishing:Maribor
Publisher:[M. Fras]
Year of publishing:2009
PID:20.500.12556/DKUM-12185 New window
UDC:[519.22+004.414.23]:621.39(043.3)
COBISS.SI-ID:13507094 New window
NUK URN:URN:SI:UM:DK:XKXQNFX1
Publication date in DKUM:14.10.2009
Views:2932
Downloads:276
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
FRAS, Matjaž, 2009, METODE STATISTIČNEGA MODELIRANJA IZMERJENEGA OMREŽNEGA PROMETA ZA NAMENE SIMULACIJ [online]. Doctoral dissertation. Maribor : M. Fras. [Accessed 22 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=12185
Copy citation
  
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Similar works from other repositories:

No similar works found

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:METHODS FOR THE STATISTICAL MODELING OF MEASURED NETWORK TRAFFIC FOR SIMULATION PURPOSES
Abstract:This dissertation covers the areas of modeling, evaluation and simulations of telecommunication networks. The goal of our research is the development of a new network traffic modeling methods, which represent very important segments of communication network simulations. During the traffic modeling we developed methods for statistical descriptions of measured network traffic in the best possible way. More of the original contributions to science are exposed in this dissertation. The first two contributions present two estimation methods for data source statistical model parameters: a method of mimic packet defragmentation, and a method based on histogram comparisons. The second method also makes another contribution to science. This is the developed analytical model for packets´ fragmentation. The fourth original contribution to science presents a modified chi squared test, which in comparison with other known tests, better evaluates discrepancies between measured and modeled network traffic. The represented methods and algorithms in this dissertation were implemented within a developed application, called TraffMod. This application, together with the use of the OPNET simulation tool, was used as a tool during extensive research work, which confirmed the validity of the developed methods, models and algorithms, and those conditions and limitations where these estimation methods would be useful.
Keywords:network traffic, modeling, simulations, random process, distribution


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica