This paper describes statistical analysis of web data traffic to identify the probability distribution best fitting the connection arrivals and to evaluate whether data traffic traces follow heavy-tail distributions – an indication of fractal behaviour, which is in contrast to conventional data traffic. Modelling of the fractal nature of web data traffic is used to specify classes of fractal co...

Diffusion approximations and associated heavy-traffic Emit theorems have now become basic tools of queuing theory; e.g., see Gelenbe and Mitrani [3, Chapter 4], Kleinrock [8, Chapter 2]," Newell [12, Chapter 6] and references there. Under heavy-traffic condiuons, diffusion approximations are identified and justified by the heavy-traffic limit theorems: the diffusion process is obtained as the l...

lead as non-essential metal, is known the source of toxicity and impacts on the environment and humans. the goal of recent paper is to determine the pb concentration of road and road margin dust of ghamishlu wildlife refuge in isfahan province with an area about 120,000 hectares surrounded by four main roads. traffic load in the southern freeway have been reported as about 3600-19000 cars/day. ...

Comprehensive analysis of the Internet traffic conducted over the last decade revealed the concept of longrange dependence (LRD) in the collected data traces. Some of this analysis work proved that this property is a result of the heavy tailed distribution of the packet inter-arrival time, which is a result of the heavy tailed distribution of packet size of the traffic sources. In this paper, w...

*Correspondence: Herni Halim, Department of Environmental Management, Faculty of Environmental Studies, Universiti Putra Malaysia, 43400 Serdang, Selangor Darul Ehsan, Malaysia e-mail: [email protected] HIGHLIGHTS • Highway traffic noise is a serious problem in Malaysia • Heavy traffic flow highway recorded higher noise level compared to low traffic flow • Noise level stabilized at certain n...

This paper addresses the problem of characterizing analytically the autocorrelation structure of TCP traffic. We show that, under simple models, a single TCP connection generates traffic with an exponentially decreasing autocorrelation function. However, several TCP connections sharing a given link can generate traffic with long term dependencies, under the condition that the distribution of th...