High-Fidelity Network Simulation Using a Flexible Agent-Based Parallel Discrete Event Simulation Framework
High-fidelity simulation of large mobile ad-hoc networks consisting of hundreds to thousands of nodes can substantially facilitate development and deployment of network centric systems. However, current parallel discrete event simulation face scalability limitations and cannot effective utilize large numbers of processors for certain classes of simulation workloads. In this Phase II effort, an agent-based parallel discrete event simulation and modeling framework called Cynx will be developed that has the following key innovations: 1. An application programming interfaces that enables models to help the simulation framework to increase parallelism through improved estimation of lower bound on timestamp (LBTS) as well as topology-aware computation of agent lookahead values, 2. A simulation framework optimized for both shared memory multiprocessing that reduce communications and synchronization overhead between simulation agents, 3) Interfaces to high-fidelity MAC and physical layer simulation/emulation modules that enable integration of PDES systems with specialized computation capabilities and 4) A library of reusable components optimized for the Cynx framework demonstrating how models can be written to improve overall simulation scalability. The result of the proposed effort will be an open architecture and infrastructure for developing and executing large-scale MANET and networking simulations that will harness multicore computation clusters.
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Intelligent Automation, Inc.
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