ABSTRACT:

Service Overlay Networks (SON) can offer end to end Quality of Service by leasing bandwidth from Internet Autonomous Systems. To maximize profit, the SON can continually adapt its leased bandwidth to traffic demand dynamics based on online traffic trend estimation. In this paper, we propose novel approaches for online traffic trend estimation that fits the SON capacity adaptation. In the first approach, the smoothing parameter of the exponential smoothing (ES) model is adapted to traffic trend. Here, the trend is estimated using measured connection arrival rate autocorrelation or cumulative distribution functions. The second approach applies Kalman filter whose model is built from historical traffic data. In this case, availability of the estimation error distribution allows for better control of the network Grade of Service. Numerical study shows that the proposed autocorrelation based ES approach gives the best combined estimation response-stability performance when compared to known ES methods. The proposed Kalman filter based approach improves further the capacity adaptation performance by limiting the increase of connection blocking when traffic level is increasing.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Transmit-Power Minimization for NOMA-Enabled Traffic Offloading With Security Provisioning - 2018ABSTRACT:Non-orthogonal multiple access (NOMA) has been proposed as an effective technique to deal with the enormous
PROJECT TITLE :Distributed Caching Enabled Peak Traffic Reduction in Ultra-Dense IoT Networks - 2018ABSTRACT:The proliferation of large machine-type communications devices and their random and intermittent transmissions have brought
PROJECT TITLE :TrafficShaper: Shaping Inter-Datacenter Traffic to Reduce the Transmission Cost - 2018ABSTRACT:The emerging deployment of geographically distributed information centers (DCs) incurs a significant quantity of data
PROJECT TITLE :Accurate Recovery of Internet Traffic Data Under Variable Rate Measurements - 2018ABSTRACT:The inference of the network traffic matrix from partial measurement information becomes increasingly vital for various
PROJECT TITLE :Measurement-Driven Modeling for Connection Density and Traffic Distribution in Large-Scale Urban Mobile Networks - 2018ABSTRACT:In the varied usage scenarios of mobile networks, we have a tendency to have totally

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry