پديد آورنده :
پاشازاده، هستي
عنوان :
مسيريابي براساس الگوريتم يادگيري عميق در شبكه‌هاي نرم‌افزار محور SDN
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
شبكه‌هاي مخابراتي
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان
صفحه شمار :
سيزده، 74ص. : مصور، جدول، نمودار
استاد راهنما :
نغمه‌سادات مؤيديان
استاد مشاور :
مهران صفاياني
توصيفگر ها :
مسيريابي , شبكه‌هاي مبتني بر نرم‌افزار , يادگيري عميق
استاد داور :
محمدعلي خسروي‌فرد، مجيد نبي، محمدرضا احمدزاده
تاريخ ورود اطلاعات :
1400/01/27
دانشكده :
مهندسي برق و كامپيوتر
تاريخ ويرايش اطلاعات :
1400/01/31
چكيده انگليسي :
Routing in Software Defined Networking SDN Based on Deep Learning Algorithms Hasti Pashazadeh October 21 2020 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Assist Prof Naghmeh S Moayedian First Adviser Assoc Prof Mehran SafayaniAbstract Software defined networking is the new technology that is used for network management Currently SDN is attendedin networks with high bandwidth In this structure control plane has separated from data plane that causes the network tobe controlled directly OpenFlow protocol is one of the main part of SDN and used for communication between controllerand network switches In this thesis routing has done with one of the common routing algorithms such as OSPF and themetric has set to the amount of traffic in links then the results that contains the path of packets from source to destination has saved in a matrix and fed to neural network however the routing has done with neural networks in the same traffic andobserved that the trained network has high accuracy and low loss Key Words Deep Learning SDN Routing
استاد راهنما :
نغمه‌سادات مؤيديان
استاد مشاور :
مهران صفاياني
استاد داور :
محمدعلي خسروي‌فرد، مجيد نبي، محمدرضا احمدزاده
