KTWIN：一个基于Kubernetes的无服务器数字孪生平台
KTWIN: A Serverless Kubernetes-based Digital Twin Platform
AI总结：
本文提出KTWIN，一个基于Kubernetes的无服务器数字孪生平台，利用云原生工具实现高抽象建模与部署，在保证可扩展性的同时降低60%至80%的成本。
摘要：
数字孪生（DTs）系统是物理资产的虚拟表示，使组织能够获得洞察并改进现有流程。在实践中，数字孪生需要适当的建模、连贯的开发以及沿云和边缘环境的无缝部署，并依赖既定模式来降低运营成本。在这项工作中，我们提出了KTWIN，一个基于Kubernetes的无服务器数字孪生平台。KTWIN使用最先进的开源云原生工具开发，允许数字孪生操作者通过开放标准轻松定义模型，并配置底层服务和基础设施的细节。使用所开发原型进行的实验表明，KTWIN能够提供更高层次的抽象来建模和部署数字孪生用例，而不会影响解决方案的可扩展性。所执行的测试还显示，与过度配置的场景相比，成本节省幅度在60%到80%之间。
英文摘要：
Digital Twins (DTs) systems are virtual representations of physical assets allowing organizations to gain insights and improve existing processes. In practice, DTs require proper modeling, coherent development and seamless deployment along cloud and edge landscapes relying on established patterns to reduce operational costs. In this work, we propose KTWIN a Kubernetes-based Serverless Platform for Digital Twins. KTWIN was developed using the state-of-the-art open-source Cloud Native tools, allowing DT operators to easily define models through open standards and configure details of the underlying services and infrastructure. The experiments carried out with the developed prototype show that KTWIN can provide a higher level of abstraction to model and deploy a Digital Twin use case without compromising the solution scalability. The tests performed also show cost savings ranging between 60% and 80% compared to overprovisioned scenarios.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
