Immersive real-time large-scale network simulation: A research summary
Jason Liu
Abstract
Jason Liu
Abstract
Immersive real-time large-scale network simulation is a technique that supports simulation of large-scale networks to interact with real implementations of network protocols, network services, and distributed applications. Traffic generated by real network applications is carried by the virtual network simulated in real time where delays and losses are calculated according to the simulated network conditions. We emphasize network immersion so that the virtual network is indistinguishable from a physical testbed in terms of network behavior, yet allows the flexibility of simulation. In this paper we provide a summary of current research in immersive real-time large-scale network simulation, particularly in areas of hybrid network traffic modeling and scalable emulation infrastructure design.
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Immersive real-time large-scale network simulation is a technique that supports simulation of large-scale networks to interact with real implementations of network protocols, network services, and distributed applications. Traffic generated by real network applications is carried by the virtual network simulated in real time where delays and losses are calculated according to the simulated network conditions. We emphasize network immersion so that the virtual network is indistinguishable from a physical testbed in terms of network behavior, yet allows the flexibility of simulation. In this paper we provide a summary of current research in immersive real-time large-scale network simulation, particularly in areas of hybrid network traffic modeling and scalable emulation infrastructure design.
Key concepts: Network simulation, Network traffic simulation, Computer science, Testbed, Emulation, Scalability, Virtual network, Distributed computing