论文标题
端到端 - 架构Kturen Zur datenMonetarisierung im iiot。 konzepte und ofermineungen
End-to-end-Architekturen zur Datenmonetarisierung im IIoT. Konzepte und Implementierungen
论文作者
论文摘要
物联网（IoT）的价值创造潜力，即任意对象与Internet的连接，在于通过访问和处理大约80 Zettabytes（1 ZB = 10^21字节）的数据来创造业务福利，该数据由估计的400亿个Iot Endpoints产生的数据（估计为2025）。这项贡献得出并提出了与信息技术相关的基本原理和基础，以便能够获得这一潜力。所谓的工业物联网（IIOT）在整个行业中尤其遇到的设备和机器的数量和异质性要求使用一个典型的基于云的物联网平台来逻辑集中度，并且对行业中不可避免的是不可避免的 - 复杂性。严格的非功能性要求，尤其是（低）潜伏期，（高）带宽，访问大处理能力以及与安全性和隐私相关的方面的要求，需要在Iot端点和云中的Iot Platform之间的边缘连续体中的不同功能集进行中介IoT网关部署。这将使用组件架构观点点的两种用例的形式进行说明。 Finally we argue that this classical concept of IoT projects needs to be strategically widened towards application integration (key word: IT/OT integration) and API management resulting in the coupling of a suitable integration and API management platforms to the IoT platform in order to use this end-to-end understanding of IoT/IIoT to fully leverage the innovation-stimulating and transformational character of IIoT and Industry 4.0.
The value creation potential of the Internet of Things (IoT), that is the connection of arbitrary objects to the Internet, lies in the creation of business benefits through accessing and processing the circa 80 Zettabytes (1 ZB = 10^21 Bytes) of data produced by an estimated 40 billions of IoT endpoints (prognosis for 2025). This contribution derives and presents the information technology-related fundament and basis required to be able to reap this potential. Quantity and heterogeneity of the devices and machines especially encountered in the industry at large in the so-called industrial IoT (IIoT) require the use of a typically cloud-based IoT platform for logical concentration and more efficient management of the -- unavoidable in industry -- complexity. Stringent non-functional requirements especially regarding (low) latency, (high) bandwidth, access to large processing capacities, and security and privacy-related aspects necessitate the deployment of intermediary IoT gateways endowed with different capability sets in the edge continuum between IoT endpoints and the IoT platform in the cloud. This will be illustrated in the form of two use cases from corporate projects using a component architecture view point. Finally we argue that this classical concept of IoT projects needs to be strategically widened towards application integration (key word: IT/OT integration) and API management resulting in the coupling of a suitable integration and API management platforms to the IoT platform in order to use this end-to-end understanding of IoT/IIoT to fully leverage the innovation-stimulating and transformational character of IIoT and Industry 4.0.
