Statistical traffic data analysis is a hot topic in traffic management and control. In this field, current research progresses focus on analyzing traffic flows of individual links or local regions in a transportation network. Less attention are paid to the global view of traffic states over the entire network, which is important for modeling large-scale traffic scenes. Our aim is precisely to p...

We present a novel approach for the measurement and estimation of network traffic utilization between network nodes in heterogeneous environment. This research investigates performance evaluation of network interface port on heterogeneous services and technologies environment. We propose an enhanced equation to evaluate the performance of network interface port via Little Law and Queuing theori...

Traffic congestion in urban road networks is a costly problem that affects all major cities in developed countries. To tackle this problem, it is possible (i) to act on the supply side, increasing the number of roads or lanes in a network, (ii) to reduce the demand, restricting the access to urban areas at specific hours or to specific vehicles, or (iii) to improve the efficiency of the existin...

In this paper, a new approach is proposed to predict the fractal behavior of a distributed network traffic. In this research, traffic traces are collected from a distributed network operated by NETRESEC an independent software vendor with focus on the network security field, network forensics and analysis of network traffic. A traffic analysis on packet, connection, protocol and application lay...

The traffic and thermal problems of high performance three-dimensional Network-on-Chip (3D NoC) system become more unbalanced because of chip stacking and applied minimal routing algorithm. To make the temperature under a certain thermal limit, the overheat nodes are throttled by run-time thermal management (RTM). Therefore, the network topology becomes a Non-Stationary Irregular Mesh (NSI-Mesh...

A key problem for modern network designers is to characterize/model the “bursty” traffic arising in broadband networks with a view on predicting and guaranteeing performance. In this paper we attempt to unify several approaches ranging from histogram/interval based methods to “frequency domain” approaches by further investigating the asymptotic behavior of a multiplexer carrying a large number ...

Network admission control (NAC) limits the traffic in a network to avoid overload and to assure thereby the quality of service (QoS) for admitted flows. Overload may occur due to exceptional traffic demand, but it is mostly caused by redirected traffic due to link failures. Conventional NAC methods cannot cope with network outages and fail when they are needed most. This paper categorizes exist...

Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic makes highly accurate prediction difficult. In this paper, a boosting-based framework is proposed for self-similar and non-linear traffic prediction by considering it as a classical regression problem. The framework is based on ...

This paper attempts to answer whether wireless net neutrality should be different than wired net neutrality because of the different technologies used. We are concerned with whether the challenges of wireless signals and mobility merit different traffic management techniques, and how these techniques may affect net neutrality. We address whether wireless network operators should have a differen...

The self-similarity of network traffic has been established in a variety of environments and it is well known that self-similar traffic can lead to larger queueing delays, higher drop rates and extended periods of congestion. In this paper, we investigate the impact of various buffer management algorithms on the self-similarity of network traffic. In this paper we investigate the impact of acti...