The hypothesis for the existence of a process with long term memory structure, that represents the independence between the degree of randomness of the traffic generated by the sources and the pattern of traffic stream exhibited by the network is presented, discussed and developed. This methodology is offered as a new and alternative way of approaching the estimation of performance and the design of computer networks ruled by the standard IEEE 802.3-2005
Traffic profile, mainly its self-similarity properties, can have crucial impact on the network perfo...
Many studies have shown that traffic in Ethernet and other wired networks is self-similar. This pape...
Two methods of generating self-similar Internet traffic are reported in this document. The first met...
The optimal computer network performance models require accurate traffic models, which can capture t...
We present a new method to estimate the Hurst pa-rameter of the increment process in network traffic...
In a previous paper it was proposed, and theoretically confirmed, that analysis of self-similar traf...
This paper presents results of the Hurst parameter for digital signature of network segments. It's a...
Traffic streams, sources as well as aggregated traffic flows, often exhibit long-range-dependent (LR...
We demonstrate that Ethernet local area network (LAN) traffic is statistically self-similar, that no...
We present a new method to estimate the Hurst parameter of the increment process in network traffic ...
Recent traffic measurement studies from a wide range of working packet networks have convincingly sh...
Mobile networks are experiencing exponential rates of subscriber growth worldwide. In addition they ...
Local area networks allow multiple computers to com-municate within a single building or area. The I...
We demonstrate that Ethernet LAN traffic is statistically self-similar, that none of the commonly us...
A number of recent empirical studies of traffic measurements from a variety of working packet networ...
Traffic profile, mainly its self-similarity properties, can have crucial impact on the network perfo...
Many studies have shown that traffic in Ethernet and other wired networks is self-similar. This pape...
Two methods of generating self-similar Internet traffic are reported in this document. The first met...
The optimal computer network performance models require accurate traffic models, which can capture t...
We present a new method to estimate the Hurst pa-rameter of the increment process in network traffic...
In a previous paper it was proposed, and theoretically confirmed, that analysis of self-similar traf...
This paper presents results of the Hurst parameter for digital signature of network segments. It's a...
Traffic streams, sources as well as aggregated traffic flows, often exhibit long-range-dependent (LR...
We demonstrate that Ethernet local area network (LAN) traffic is statistically self-similar, that no...
We present a new method to estimate the Hurst parameter of the increment process in network traffic ...
Recent traffic measurement studies from a wide range of working packet networks have convincingly sh...
Mobile networks are experiencing exponential rates of subscriber growth worldwide. In addition they ...
Local area networks allow multiple computers to com-municate within a single building or area. The I...
We demonstrate that Ethernet LAN traffic is statistically self-similar, that none of the commonly us...
A number of recent empirical studies of traffic measurements from a variety of working packet networ...
Traffic profile, mainly its self-similarity properties, can have crucial impact on the network perfo...
Many studies have shown that traffic in Ethernet and other wired networks is self-similar. This pape...
Two methods of generating self-similar Internet traffic are reported in this document. The first met...