Publication | Closed Access
Design, Realization and Evaluation of a Component-based, Compositional Network Simulation Environment
15
Citations
25
References
2009
Year
EngineeringNetwork AnalysisSimulationSimulation FrameworkSystems EngineeringModeling And SimulationInternet Of ThingsSimulation LanguageNetwork VirtualizationComputer EngineeringSoftware SimulationComputer ScienceProtocol ComponentsDistributed SimulationNetwork SimulationNetwork ScienceEdge ComputingCloud ComputingSimulation InfrastructureSystem SoftwareAutonomous Component ArchitectureProtocol Operations
In this paper, we present a component-based network simulation environment that provides a systematic way to simulate, with high fidelity, protocol operations in a variety of target network architectures. We take a four-step approach to developing such a composable network simulation environment with reusable components. First, we lay a component-based software architecture, called the autonomous component architecture (ACA). Second, we propose a new real-time, process-driven simulation technique that fits naturally in ACA and simulates the real system realistically. Third, we devise a packet-based network simulation framework, called extensible internetworking framework (INET), on top of ACA. Fourth, we implement in Java both ACA and INET, and several representative suites of protocol components in a variety of network architectures. The resulting codes, along with a scripting framework, constitute a network simulation environment called J-Sim. By virtue of the many desirable features inherited from ACA, the J-Sim environment meets the flexibility, composability, reusability, extensibility and diagnosability requirements. The price J-Sim pays for the many desirable features is, however, the inter-component communication overhead. In this paper, we show (via experimentation) that this overhead is not significant (in the range of 0.2—0.6 μs), and J-Sim achieves better scalability than two other network simulators in the public domains, ns-2 and Scalable Simulation Framework Network Models (SSFNET), in terms of both the experiment setup time and the simulation completion time.
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