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首页> 外文会议>IEEE International Conference on Internet-of-Things Design and Implementation >Poster Abstract: Data-centric IoT Services Provisioning in Fog-Cloud Computing Systems
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Poster Abstract: Data-centric IoT Services Provisioning in Fog-Cloud Computing Systems

机译：海报摘要：雾云计算系统中以数据为中心的物联网服务供应

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摘要

Fog computing is mainly proposed for IoT applications that are geospatially distributed, large-scale, and latency sensitive. This poses new research challenges in real-time and scalable provisioning of IoT services distributed across Fog-Cloud computing platforms. Data-centric IoT services, as a dominant type of IoT services in large-scale deployments, require design solutions to speed up data processing and notification, and scale up with the data volume. In this paper, we propose a service-oriented design architecture which is particularly focused on provisioning and processing data-centric IoT services over Fog-Cloud systems. In the proposed architecture, data-centric IoT services are organized in a service integrating tree structure, adhering to the hierarchical fog-based IoT computing models. A service node in the tree is empowered with features for real-time service data notification, local data processing and multi-level IoT data access. The initial results show that, along the design advantages of the proposed model, it does not impose any additional overhead as compared to state-of-the-art solutions.
机译：雾计算主要针对地理空间分布，大规模且对延迟敏感的物联网应用提出。这对跨雾云计算平台分布的物联网服务进行实时和可扩展的配置提出了新的研究挑战。以数据为中心的物联网服务作为大规模部署中物联网服务的主要类型，需要设计解决方案来加速数据处理和通知，并随着数据量的增长而扩展。在本文中，我们提出了一种面向服务的设计架构，该架构特别着重于通过Fog-Cloud系统提供和处理以数据为中心的IoT服务。在提出的体系结构中，以数据为中心的物联网服务被组织在一个服务集成树结构中，并遵守基于层次的基于雾的物联网计算模型。树中的服务节点具有实时服务数据通知，本地数据处理和多层IoT数据访问的功能。初步结果表明，与所提出模型的设计优势相比，与最新解决方案相比，它没有施加任何额外的开销。

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