Optimized capacity planning and performance measurement through OPNET Modeler

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 in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Habib, S J, Marimuthu, P N
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 48
container_issue
container_start_page 43
container_title
container_volume
creator Habib, S J
Marimuthu, P N
description 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.
doi_str_mv 10.1109/ICCAIE.2010.5735044
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5735044</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5735044</ieee_id><sourcerecordid>5735044</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-7eddab917e42efb5202a6ea8fce322c8b005c3e4440ad7adac06031398d8c1243</originalsourceid><addsrcrecordid>eNo1kM9Og0AYxNcYE7XyBL3sC1D3H104NgSVpBUP3JuP3Y92DSxkoYf69JJY5zKZ32EyGULWnG04Z9lrmee7stgItoBEy4QpdUeiTKdcCaUylkh2T57_g0oeSTRN32xRIrRW6RM5VOPseveDlhoYwbj5SscOvHf-RMFbOmJoh9CDN0h7hOkSsEc_0_kchsvpTKuvz6Kmh8Fih-GFPLTQTRjdfEXqt6LOP-J99V7mu33sMjbHGq2FJuMalcC2SQQTsEVIW4NSCJM2yzwjUSnFwGqwYNiWSS6z1KaGCyVXZP1X6xDxOAbXQ7gebwfIX_hsUA8</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Optimized capacity planning and performance measurement through OPNET Modeler</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Habib, S J ; Marimuthu, P N</creator><creatorcontrib>Habib, S J ; Marimuthu, P N</creatorcontrib><description>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.</description><identifier>ISBN: 1424490545</identifier><identifier>ISBN: 9781424490547</identifier><identifier>EISBN: 9781424490530</identifier><identifier>EISBN: 1424490537</identifier><identifier>EISBN: 1424490553</identifier><identifier>EISBN: 9781424490554</identifier><identifier>DOI: 10.1109/ICCAIE.2010.5735044</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Biological cells ; Biological system modeling ; capacity planning ; Computational modeling ; Gallium ; genetic algorithm ; netwrok redesign ; OPNET Modeler ; Simulated annealing</subject><ispartof>2010 International Conference on Computer Applications and Industrial Electronics, 2010, p.43-48</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5735044$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5735044$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Habib, S J</creatorcontrib><creatorcontrib>Marimuthu, P N</creatorcontrib><title>Optimized capacity planning and performance measurement through OPNET Modeler</title><title>2010 International Conference on Computer Applications and Industrial Electronics</title><addtitle>ICCAIE</addtitle><description>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.</description><subject>Analytical models</subject><subject>Biological cells</subject><subject>Biological system modeling</subject><subject>capacity planning</subject><subject>Computational modeling</subject><subject>Gallium</subject><subject>genetic algorithm</subject><subject>netwrok redesign</subject><subject>OPNET Modeler</subject><subject>Simulated annealing</subject><isbn>1424490545</isbn><isbn>9781424490547</isbn><isbn>9781424490530</isbn><isbn>1424490537</isbn><isbn>1424490553</isbn><isbn>9781424490554</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM9Og0AYxNcYE7XyBL3sC1D3H104NgSVpBUP3JuP3Y92DSxkoYf69JJY5zKZ32EyGULWnG04Z9lrmee7stgItoBEy4QpdUeiTKdcCaUylkh2T57_g0oeSTRN32xRIrRW6RM5VOPseveDlhoYwbj5SscOvHf-RMFbOmJoh9CDN0h7hOkSsEc_0_kchsvpTKuvz6Kmh8Fih-GFPLTQTRjdfEXqt6LOP-J99V7mu33sMjbHGq2FJuMalcC2SQQTsEVIW4NSCJM2yzwjUSnFwGqwYNiWSS6z1KaGCyVXZP1X6xDxOAbXQ7gebwfIX_hsUA8</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Habib, S J</creator><creator>Marimuthu, P N</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201012</creationdate><title>Optimized capacity planning and performance measurement through OPNET Modeler</title><author>Habib, S J ; Marimuthu, P N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-7eddab917e42efb5202a6ea8fce322c8b005c3e4440ad7adac06031398d8c1243</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Analytical models</topic><topic>Biological cells</topic><topic>Biological system modeling</topic><topic>capacity planning</topic><topic>Computational modeling</topic><topic>Gallium</topic><topic>genetic algorithm</topic><topic>netwrok redesign</topic><topic>OPNET Modeler</topic><topic>Simulated annealing</topic><toplevel>online_resources</toplevel><creatorcontrib>Habib, S J</creatorcontrib><creatorcontrib>Marimuthu, P N</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Habib, S J</au><au>Marimuthu, P N</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimized capacity planning and performance measurement through OPNET Modeler</atitle><btitle>2010 International Conference on Computer Applications and Industrial Electronics</btitle><stitle>ICCAIE</stitle><date>2010-12</date><risdate>2010</risdate><spage>43</spage><epage>48</epage><pages>43-48</pages><isbn>1424490545</isbn><isbn>9781424490547</isbn><eisbn>9781424490530</eisbn><eisbn>1424490537</eisbn><eisbn>1424490553</eisbn><eisbn>9781424490554</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICCAIE.2010.5735044</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1424490545
ispartof 2010 International Conference on Computer Applications and Industrial Electronics, 2010, p.43-48
issn
language eng
recordid cdi_ieee_primary_5735044
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Analytical models
Biological cells
Biological system modeling
capacity planning
Computational modeling
Gallium
genetic algorithm
netwrok redesign
OPNET Modeler
Simulated annealing
title Optimized capacity planning and performance measurement through OPNET Modeler
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T19%3A01%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Optimized%20capacity%20planning%20and%20performance%20measurement%20through%20OPNET%20Modeler&rft.btitle=2010%20International%20Conference%20on%20Computer%20Applications%20and%20Industrial%20Electronics&rft.au=Habib,%20S%20J&rft.date=2010-12&rft.spage=43&rft.epage=48&rft.pages=43-48&rft.isbn=1424490545&rft.isbn_list=9781424490547&rft_id=info:doi/10.1109/ICCAIE.2010.5735044&rft_dat=%3Cieee_6IE%3E5735044%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424490530&rft.eisbn_list=1424490537&rft.eisbn_list=1424490553&rft.eisbn_list=9781424490554&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5735044&rfr_iscdi=true