Software Defined Network Traffic estimation using the kalman filter

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 499

فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

NEEC04_087

تاریخ نمایه سازی: 11 شهریور 1397

چکیده مقاله:

One of the methods that can be used to analyze the network behavior is Estimation. Estimation of the network parameters is applied for Routing, Controller Placement (CP) in Software Defined Networks (SDN). By estimating the network traffic, the volume of the packets passed through any node or link can be estimated and an appropriate rout can be considered in SDN according to the network behavior and the network traffic. For this purpose, using Discrete Kalman Filter (DKF), the network traffic is estimated based on a given dynamic system having covariance matrix with allowable error. This method can have a significant role in routing policies and even in controller placement.

نویسندگان

Abbas tataei

Department of Electrical Engineering, Najafabad Islamic Azad University Isfahan,Iran

Farhad Faghani

Department of Electrical Engineering Najafabad, Islamic Azad University Isfahan,Iran

Ghasem Mirjalily

Department of Electrical Engineering Yazd University Yazd, Iran.