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Practical use of a framework for network science experimentation

机译：网络科学实验框架的实际使用

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In 2006, the US Army Research Laboratory (ARL) and the UK Ministry of Defence (MoD) established a collaborative research alliance with academia and industry, called the International Technology Alliance (ITA) In Network and Information Sciences, to address fundamental issues concerning Network and Information Sciences that will enhance decision making for coalition operations and enable rapid, secure formation of ad hoc teams in coalition environments and enhance US and UK capabilities to conduct coalition warfare. Research conducted under the ITA was extended through collaboration between ARL and IBM UK to characterize and define a software stack and tooling that has become the reference framework for network science experimentation in support for validation of theoretical research. This paper discusses the composition of the reference framework for experimentation resulting from the ARL/IBM UK collaboration and its use, by the Network Science Collaborative Technology Alliance (NS CTA) , in a recent network science experiment conducted at ARL. It also discusses how the experiment was modeled using the reference framework, the integration of two new components, the Apollo Fact-Finder tool and the Medusa Crowd Sensing application, the limitations identified and how they shall be addressed in future work.
机译：2006年，美国陆军研究实验室（ARL）和英国国防部（MoD）与学术界和工业界建立了合作研究联盟，称为网络和信息科学国际技术联盟（ITA），以解决与网络有关的基本问题。信息科学和信息科学将增强联盟行动的决策能力，并能在联盟环境中快速，安全地组建特设团队，并增强美国和英国开展联盟战的能力。通过ITA进行的研究通过ARL与IBM UK的合作进行了扩展，以表征和定义软件堆栈和工具，这些已成为网络科学实验的参考框架，以支持理论研究的验证。本文讨论了网络科学协作技术联盟（NS CTA）在ARL最近进行的网络科学实验中，由ARL / IBM UK合作产生的实验参考框架的组成及其使用。它还讨论了如何使用参考框架对实验进行建模，两个新组件（Apollo Fact-Finder工具和Medusa Crowd Sensing应用程序）的集成，已确定的局限性以及在将来的工作中应如何解决局限性。

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