DocumentCode :
2776942
Title :
Optimized capacity planning and performance measurement through OPNET Modeler
Author :
Habib, Sami J. ; Marimuthu, Paulvanna Nayaki
Author_Institution :
Comput. Eng. Dept., Kuwait Univ., Safat, Kuwait
fYear :
2010
fDate :
5-8 Dec. 2010
Firstpage :
43
Lastpage :
48
Abstract :
This paper presents a number of performance assessment studies of the capacity planning operations on existing networks using OPNET Modeler. We have combined a novel custom-made planning tool and OPNET Modeler to redesign and evaluate an existing network through various redesign techniques, which involve relocating the existing nodes and consolidating clusters (sub-networks). The proposed tool is intended with the conscious to reduce the extra-traffic and the operational/maintenance cost of the network, where Simulated Annealing and Genetic Algorithm are utilized to search the redesign space to find enhanced network topologies. The commercial OPNET Modeler analyzes the performance of the redesigned topology at node (client) level through link utilization. Our simulation studies show a better trade-off by increasing the overall utilization of the redesigned network around 20%, thereby reducing the network maintenance cost accordingly.
Keywords :
genetic algorithms; simulated annealing; telecommunication network management; telecommunication network planning; telecommunication network topology; telecommunication traffic; OPNET modeler; custom made planning tool; genetic algorithm; network maintenance; network topology; optimized capacity planning; performance measurement; redesign technique; simulated annealing; Analytical models; Biological cells; Biological system modeling; Computational modeling; Gallium; Simulated annealing; OPNET Modeler; capacity planning; genetic algorithm; netwrok redesign; simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Applications and Industrial Electronics (ICCAIE), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-9054-7
Type :
conf
DOI :
10.1109/ICCAIE.2010.5735044
Filename :
5735044
Link To Document :
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