This letter presents a Flow-Level Extension to OMNeT++ (FLEO) that allows a discrete event simulator to operate on flows of traffic, and so simulate larger networks for longer periods of time for a given set of computation and memory resources compared with packet-based simulation. FLEO simulations of link utilization are accurate to within 0.2% of a packet-based simulation, yet run 30 to 90 times faster than packet-based simulation. These characteristics make it suitable for the simulation of streaming media, which comprises the majority of data usage today, as well as investigation of traffic engineering within a network, for example, using software-defined networking
This work describes mechanisms for simulating opportunis-tic and delay-tolerant networks in the OMNe...
Simulating a large-scale network like the Internet is a challenging undertaking because of the sheer...
Communication networks have experienced tremendous growth in recent years, and it has become ever mo...
Packet-level discrete-event network simulators use an event to model the movement of each packet in ...
It is necessary to use simulation tools in the study of wireless network. The object-oriented modul...
Abstract—In this paper, we propose a flow-level simulator called FSIM (Fluid-based SIMulator) for pe...
This paper is motivated by the need to speed up complex network simulation, especially in telecommun...
The aim of this work is to explore and describe possibilities of the network simulator OMNeT++, to c...
We propose to use fluid model based time-driven simulation to simulate high speed networks. For sing...
Simulation is widely adopted in the study of modern computer networks. In this context, OMNeT++ pro...
Motivated by the scale and complexity of simulating large-scale networks, recent research has focuse...
Simulating large-scale dynamic systems becomes increas-ingly more important as real-world systems gr...
With the incremental amount of applications running over the telecom cloud architecture it is becomi...
This diploma thesis deals with OMNeT++, a simulation tool for network traffic simulations. It descri...
In this paper we present a tool for the simulation of fluid models of high-speed telecom-munication ...
This work describes mechanisms for simulating opportunis-tic and delay-tolerant networks in the OMNe...
Simulating a large-scale network like the Internet is a challenging undertaking because of the sheer...
Communication networks have experienced tremendous growth in recent years, and it has become ever mo...
Packet-level discrete-event network simulators use an event to model the movement of each packet in ...
It is necessary to use simulation tools in the study of wireless network. The object-oriented modul...
Abstract—In this paper, we propose a flow-level simulator called FSIM (Fluid-based SIMulator) for pe...
This paper is motivated by the need to speed up complex network simulation, especially in telecommun...
The aim of this work is to explore and describe possibilities of the network simulator OMNeT++, to c...
We propose to use fluid model based time-driven simulation to simulate high speed networks. For sing...
Simulation is widely adopted in the study of modern computer networks. In this context, OMNeT++ pro...
Motivated by the scale and complexity of simulating large-scale networks, recent research has focuse...
Simulating large-scale dynamic systems becomes increas-ingly more important as real-world systems gr...
With the incremental amount of applications running over the telecom cloud architecture it is becomi...
This diploma thesis deals with OMNeT++, a simulation tool for network traffic simulations. It descri...
In this paper we present a tool for the simulation of fluid models of high-speed telecom-munication ...
This work describes mechanisms for simulating opportunis-tic and delay-tolerant networks in the OMNe...
Simulating a large-scale network like the Internet is a challenging undertaking because of the sheer...
Communication networks have experienced tremendous growth in recent years, and it has become ever mo...