基于雾计算的IoT服务和应用开发体系结构
A Fog Computing Based Architecture for IoT Services and Applications Development
摘要：
物联网范式利用云计算平台来扩展其范围和服务供应能力。然而，由于底层物联网设备的位置远离云，一些服务无法容忍此问题可能导致的延迟。为了克服可能影响物联网服务和应用程序功能的延迟后果，已经提出了雾计算。雾计算范式利用位于网络边缘的本地计算资源而不是驻留在云中的资源来处理从连接到物联网平台中的物理设备的传感器收集的数据。这种模式的主要好处包括低延迟、实时决策和可用带宽的最佳利用。在本文中，我们对雾计算范式进行了回顾，特别是它对物联网应用程序开发过程的影响。我们还提出了一个基于雾计算的物联网服务和应用的架构。
英文摘要：
IoT paradigm exploits the Cloud Computing platform to extend its scope and service provisioning capabilities. However, due to the location of the underlying IoT devices which is far away from the cloud, some services cannot tolerate the possible latency resulted from this issue. To overcome the latency consequences that might affect the functionality of IoT services and applications, the Fog Computing has been proposed. Fog Computing paradigm utilizes local computing resources locating at the network edge instead of those residing at the cloud for processing data collected from sensors linked to physical devices in an IoT platform. The major benefits of such paradigm include low latency, real-time decision making and an optimal utilization of available bandwidth. In this paper, we offer a review of the Fog computing paradigm and in particular its impact on the IoT application development process. We also propose an architecture for Fog Computing based IoT services and applications.
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。
