Effective bandwidth estimation in data networks: an analysis for two traffic characterizations

he Generalized Markov Fluid Model (GMFM) is assumed for modeling sources in the network because it is versatile to describe the traffic fluctuations. In order to estimate resources allocations or in other words the channel occupation of each source, the concept of effective bandwidth (EB) proposed by Kelly [5] is used. In this paper we use an expression to determine the EB for this model which is of particular interest because it allows expressing said magnitude depending on the parameters of the model. This paper provides EB estimates for this model applying Kernel Estimation techniques in data networking. In particular we will study two differentiated cases: dispatches following a Gaussian and Exponential distribution. The performance of the proposed method is analyzed using simulated traffic traces generated by Monte Carlo Markov Chain algorithms. The estimation process worked much better in the Gaussian distribution case than in the Exponential one.

An Optimized Bandwidth Estimation for Adaptive Video Streaming Systems Using WLBWO Algorithm

The increasing popularity of streaming video is a cause of concern for the stability of the internet because most streaming video content is currently delivered via UDP without any end-to-end congestion control. Since the internet relies on end systems implementing transmit rate regulation, there has recently been significant interest in congestion control mechanisms that are both fair to TCP and effective in delivering real-time streams. Streaming video over the internet requires dealing with bandwidth and delay that vary over time. Many video streaming applications address this problem by adapting the quality of the scalable video. But it produces poor quality service, and sending data on this channel results in buffering time. To trounce these issues, this paper proposed optimized bandwidth estimation for adaptive video streaming systems using the WLBWO algorithm. Originally, the input video is compressed by using the UHE algorithm. Next, the system proposes a KEECC to securely transfer the data. Then, the encrypted data is sent to the receiver via a multipath channel. Before sending the data to the receiver, the bandwidth is estimated by using the WLBWO. Finally, the inverse process is performed. Extensive experimental results showed the effectiveness of the proposed system than conventional methods.

Be-Ozr: An Efficient Available Bandwidth Estimation In Ieee802.11E Network

In wireless network, the support for Quality of Service (QoS) depends on the ability of a network to estimate the available bandwidth of a link effectively and efficiently. Due to the shared nature of the wireless medium, there has been challenges in achieving an accurate measurement of the available bandwidth. This paper therefore proposes an efficient available bandwidth estimation approach that improves the accuracy of previously proposed approach for accurate measurement. The approach used in this paper is to passively estimate the available bandwidth, where the maximum range of the channel idle time measurement used in the calculation is re-defined to address the outer zone range threshold (OZR). This limits the under-estimation and over-estimation of bandwidth measurement. The proposed approach used limits the network overhead and achieves accuracy and efficiency. Results obtained from the simulation shows how our proposed approach out-performs the state-of the-art approach in terms of throughput and delay, using the IEEE802.11e. We have been able to achieve 8% improvement in accuracy and efficiency when compared with the best of the state-of-the-art available bandwidth estimation technique.