multinomial Distribution Based Model for controlling congestion
Details
This thesis addresses the effect of congestion on different nodes by using both the network users and network packets flowing on the whole networks. As the Network expands in size, the number of current outages can also be expected to grow. Object oriented programming language (JAVA) was used to simulate the whole networks. It shows the level of congestion of each node and how to control the congestion levels using progress and comment bars. Chi square was also used as a mathematical tool to know the significance difference of the total number of users at any period of the time. Bell University Networks was used as a case study and the data was collected for high, medium and low periods respectively. The error range within which the model is likely to fall should be traced back to the data collected.
Autorentext
I am Engr. OLATAYO MOSES OLANIYAN, a lecturer in Bells University of Technology Ota, Ogun state.B.Tech (Computer Engineering 2005) withSecond class Honour,at Ladoke Akintola University of Technology, Ogbomoso, Msc in (Computer Science)with Ph D Grade at University of Ibadan.Ph.D in view.Research areas :Networking, HCI and Telemedicine.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783845475547
- Anzahl Seiten 108
- Genre Allgemein & Lexika
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 179g
- Untertitel Multinomial Distribution Based Model for Traffic congestion Control
- Größe H220mm x B150mm x T7mm
- Jahr 2011
- EAN 9783845475547
- Format Kartonierter Einband
- ISBN 3845475544
- Veröffentlichung 01.09.2011
- Titel multinomial Distribution Based Model for controlling congestion
- Autor Olatayo Moses Olaniyan
- Sprache Englisch