Distributed Simulation Of Synthetic Environments And Wireless Networks

Author : Bruno Chianca Ferreira
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)

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Download or read book Modelling, Simulating and Emulating Distributed Applications in Swarms of Cyber-Physical Systems Deployed in Dynamic Networks written by Bruno Chianca Ferreira and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research field in distributed systems has witnessed a recent growing interest in wireless mobile distributed computing, i.e. distributed algorithms deployed in dynamic networks. Such systems introduce new challenges due to their time-varying topologies, which hinder the performance and safety guarantees of algorithms that are fundamental building blocks of more complex distributed algorithms. The main focus of this work is to establish different ways to study such systems via emulation and simulation and to propose some techniques to deploy applications in dynamic networks. We evaluated different data flow paradigms, such as many-to-many distributed storage, one-many computational offloading, and many-to-many decentralized swarm control and data load-balancing.We adopted the quantitative approach as a cornerstone methodology, using simulation and emulation to collect data for analysis. Even though there are many discrete simulators in the state-of-the-art, there was a gap for emulation tools applied to mobile ad hoc computing. Some important features were missing, such as a full-scale emulated deployment environment where prototypes coexist with off-the-shelf applications and more options for mobility control. This work proposes MACE, a framework that enables the emulation of mobile distributed applications in a virtual environment so that the scenarios and topologies composed by mobile wireless nodes can be easily modified. Since emulation requires that the tests run in wall time, the need for a fast simulator arose. Therefore, we designed, implemented and validated a fluid model that simulates traffic flow in mobile ad hoc networks. With this model, we finally implemented a simulation tool that enables fast algorithm and parameter analysis and can potentially be embedded in constrained nodes for in-flight mission re-evaluation. The fluid model can scale to large topologies with hundreds of nodes and could complete experiments running stress workloads with simulation time shorter than the simulation time horizon. It can also be configured with bounded and unbounded network queues, use mixed mobility models and control laws, and model different applications running in the application layer mixed with synthetic traffic injection. By studying different control laws, we can reduce the probability of enduring network partitions and enhance the traffic balance to reduce the formation of bottlenecks that hinder the application's performance.Our work also encompassed the proposal of some applications related to the domain of UTM, such as optimized edge-assisted offloading algorithms for swarms of UAVs that can be potentially used for UTM Distributed Detect and Avoid systems. Moreover, we also propose a distributed position tracking data layer for very low-level airspace using State Machine Replication and could achieve low end-to-end latencies even with a high number of replicas.