Providing a User Extensible Service-Enabled Multi-Fidelity Hybrid Cloud-Deployable SoS Test and Evaluation (T&E) Infrastructure: Application of Modeling and Simulation (M&S) as a Service (MSaaS)

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Saurabh Mittal, Robert L. Wittman, John Gibson, Josh Huffman, Hans Miller
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Abstract

Autonomous and AI-enabled systems present a challenge for integration within the System of Sys-tems (SoS) paradigm. A full system of systems (SoS) testbed is necessary to verify the integrity of a given system and preserve the modularization and accountability of its constituent systems. This integrated system needs to support iterative, continuous testing and development. This need war-rants the development of a virtual environment that provides the ground truth in a simulated sce-nario, interfaces with real-world data, and uses various domain-specific and domain-agnostic simulation systems for development, testing, and evaluation. These required features present a non-trivial challenge wherein constructive models and systems at different levels of fidelity need to interoperate to advance the testing, evaluation, and integration of complex systems. Such a virtual and constructive SoS architecture should be independent of the underlying computational infra-structure but must be cloud-enabled for wider integration of AI-enabled software components. This paper will present a modular Simulation, Experimentation, Analytics, and Test (SEAT) Lay-ered Architecture Framework, a 10-step methodology. This paper will also demonstrate a case study of a hybrid cloud-enabled simulation SoS that allows extensibility, composability, and de-ployability in different target environments.
提供用户可扩展的支持服务的多保真混合云部署SoS测试和评估(T&E)基础设施:建模和仿真(M&S)作为服务(MSaaS)的应用
自主和人工智能支持的系统对系统-系统(SoS)范式中的集成提出了挑战。一个完整的系统的系统(so)测试平台是必要的,以验证给定系统的完整性,并保持其组成系统的模块化和责任。这个集成系统需要支持迭代的、持续的测试和开发。这需要开发一个虚拟环境,在模拟场景中提供真实情况,与现实世界数据接口,并使用各种特定领域和不可知领域的仿真系统进行开发、测试和评估。这些必需的特性提出了一个重要的挑战,其中不同保真度级别的建设性模型和系统需要互操作,以推进复杂系统的测试、评估和集成。这种虚拟和建设性的SoS架构应该独立于底层计算基础设施,但必须支持云,以便更广泛地集成支持人工智能的软件组件。本文将介绍一个模块化的模拟、实验、分析和测试(SEAT)分层架构框架,一个10步的方法。本文还将演示一个支持混合云的模拟so的案例研究,该模拟so允许在不同的目标环境中具有可扩展性、可组合性和可部署性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
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