Research on the scheme for improving the data processing efficiency of internet of things (IOT) devices with the support of edge computing
边缘计算支持下的物联网设备数据处理效率提升方案研究

摘要

边缘计算作为一种新兴的计算模式，通过在网络边缘处理数据来减少延迟并提高响应速度，对于物联网（IoT）设备的数据处理效率提升具有重要意义。本研究旨在探讨如何利用边缘计算优化物联网设备的数据处理流程，从而显著提高数据处理效率和实时性。当前物联网设备在数据处理过程中遇到的主要瓶颈，如高延迟、带宽限制等，并提出采用边缘计算作为解决方案的具体策略。通过合理部署边缘计算节点，可以有效缓解上述问题，实现更高效的数据处理。还讨论了边缘计算实施过程中面临的挑战及应对措施。边缘计算为物联网设备的数据处理提供了新的思路和技术手段，具有广阔的应用前景。

Abstract

As an emerging computing mode, edge computing reduces latency and improves the response speed by processing data at the network edge, which is of great significance for enhancing the data processing efficiency of Internet of Things (IoT) devices. This study aims to explore how to use edge computing to optimize the data processing flow of IoT devices, thereby significantly improving data processing efficiency and real-time performance. The main bottlenecks encountered by current IoT devices during the data processing, such as high latency and bandwidth limitations, are analyzed, and specific strategies for adopting edge computing as a solution are proposed. By rationally deploying edge computing nodes, the above problems can be effectively alleviated, and more efficient data processing can be achieved. The challenges faced during the implementation of edge computing and corresponding countermeasures are also discussed. Edge computing provides new ideas and technical means for the data processing of IoT devices and has broad application prospects.