2009
DOI: 10.1177/0037549708099998
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Design, Realization and Evaluation of a Component-based, Compositional Network Simulation Environment

Abstract: 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 nat… Show more

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Cited by 35 publications
(38 citation statements)
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“…Due to the experimental resource limitation, we cannot conduct experiments on a large-scale server cluster with each physical machine configured as a single server, hence we build a discrete event emulator based on J-Sim [19] to simulate a server cluster with totally 15 servers. The frontend decides how many servers to turn on and which CPU frequency for each server to run in each sampling period.…”
Section: A Emulation Setupmentioning
confidence: 99%
“…Due to the experimental resource limitation, we cannot conduct experiments on a large-scale server cluster with each physical machine configured as a single server, hence we build a discrete event emulator based on J-Sim [19] to simulate a server cluster with totally 15 servers. The frontend decides how many servers to turn on and which CPU frequency for each server to run in each sampling period.…”
Section: A Emulation Setupmentioning
confidence: 99%
“…Unfortunately, many publicly available simulators, such as J-SIM (Tyan, 2002), have not implemented most operations for infrastructure networks and the PSM, such as the beacon frames and PS-Poll frames. Even for the de facto simulator ns-2 (Berkeley et al, 1996), it is surprising that its PSM module (Krashinsky & Balakrishnan, 2005) supports only a single client.…”
Section: A Simulatormentioning
confidence: 99%
“…Our simulations were performed in a simulation environment described by Jonasson [12] and built on top of J-Sim, a component-based, simulation environment developed at Ohio State University [22,11]. For the linear programming part, we have used the java package from the operation research objects collection (OR-Objects) [10].…”
Section: Evaluation Setupmentioning
confidence: 99%