Yazılım Tanımlı Ağlar için Güç Verimli Yol Atama

dc.contributor.author Aydoğmuş, Yiğitcan
dc.contributor.author Özbek, Berna
dc.contributor.author Koyuncu, Onur
dc.contributor.author Ulusoy, Kazım
dc.contributor.author Karakaya, Özgür
dc.coverage.doi 10.1109/SIU.2016.7495778
dc.date.accessioned 2017-08-22T13:50:09Z
dc.date.available 2017-08-22T13:50:09Z
dc.date.issued 2016
dc.description 24th Signal Processing and Communication Application Conference, SIU 2016; Zonguldak; Turkey; 16 May 2016 through 19 May 2016 en_US
dc.description.abstract Mobil uygulamaların gittikçe yaygınlaşması ile artan trafik çeşitliliği ve hacmi, ağlarda taşınan trafiğin yönetilmesi ihtiyacını kuvvetlendirdi. Yazılım tanımlı ağlar, trafik yönetimini kullanarak belirlenen gereksinimleri karşılarken, verimi maksimuma çıkararak ağları yönetebilir. Bu bildiride, ağdaki aktif anahtar sayısına dayanan güç tüketimini minimuma indiren bir yol atama algoritması öneriyoruz. Bağlantı kapasitesi kısıtlamalarını göz önüne alarak, akışların veri hacmi gereksinimlerini karşılayan en iyi yolu bulmak için genetik algoritma kullanıp, düşük karmaşıklıklı yeni bir yol atama yaklaşımı öneriyoruz. Önerilen algoritmanın verilen ağ topolojisinde çeşitli akış veri hacmi kısıtlamalarına göre performans değerlendirmelerini sunuyoruz. en_US
dc.description.abstract Since traffic diversity and volume increase with growing popularity of mobile applications, there is the strong need to manage the traffic carried by networks. Software defined networking can manage network while enabling new services by employing traffic management whose goal is to maximize the utility objective while satisfying given requirements. In this paper, we propose an efficient routing to minimize the cost based on power consumption determined by the number of active switches in a software defined networks. An optimum solution obtained by genetic algorithm and a reduced complexity routing approach are proposed while satisfying throughput requirements of flows for given constraints on link capacities in the network. We provide the performance evaluations of the proposed algorithms with respect to different throughput constraints of flows in a given network topology. en_US
dc.identifier.citation Aydoğmuş, Y., Özbek, B., Koyuncu, O., Ulusoy, K., and Karakaya, Ö. (2016, May 16-19). Yazılım tanımlı ağlar için güç verimli yol atama. Paper presented at the 24th Signal Processing and Communication Application Conference, SIU 2016. doi:10.1109/SIU.2016.7495778 en_US
dc.identifier.doi 10.1109/SIU.2016.7495778 en_US
dc.identifier.doi 10.1109/SIU.2016.7495778
dc.identifier.isbn 9781509016792
dc.identifier.scopus 2-s2.0-84982801585
dc.identifier.uri http://doi.org/10.1109/SIU.2016.7495778
dc.identifier.uri https://hdl.handle.net/11147/6163
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 24th Signal Processing and Communication Application Conference, SIU 2016 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Yazılım tanımlı ağ en_US
dc.subject Yol atama en_US
dc.subject Genetik algoritma en_US
dc.subject Genetic algorithms en_US
dc.subject Network routing en_US
dc.title Yazılım Tanımlı Ağlar için Güç Verimli Yol Atama en_US
dc.title.alternative Flow Based Power Efficient Routing for Software Defined Networks en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Aydoğmuş, Yiğitcan
gdc.author.institutional Özbek, Berna
gdc.author.yokid 36682
gdc.bip.impulseclass C5
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gdc.coar.access open access
gdc.coar.type text::conference output
gdc.collaboration.industrial true
gdc.description.department İzmir Institute of Technology. Electrical and Electronics Engineering en_US
gdc.description.endpage 468 en_US
gdc.description.publicationcategory Konferans Öğesi - Ulusal - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 465 en_US
gdc.description.wosquality N/A
gdc.identifier.openalex W2423657637
gdc.identifier.wos WOS:000391250900094
gdc.index.type WoS
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gdc.oaire.isgreen false
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gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 0.0
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gdc.opencitations.count 0
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