物联网和云计算问题、挑战和机遇综述

M. A. Sadeeq, N. M. Abdulkareem, Subhi R. M. Zeebaree, D. M. Ahmed, A. Sami, R. Zebari
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引用次数: 152

摘要

随着工业物联网(IIoT)的指数级增长,多个网点不断产生大量数据。将所有原始数据本地存储在IIoT设备中是不明智的,因为终端设备的能量和存储空间受到严格限制。自组织和短程物联网(IoT)网络也支持外包数据和云计算,独立于独特的资源约束属性。对于其余的调查结果,有一系列不熟悉的物联网和云集成问题的防护措施。云计算的交付是非常高效的,存储变得越来越流行,一些组织现在正在从云计算供应商的中心更改内部记录的数据。在利用云计算工具时,针对工作负载和数据的密集物联网应用程序面临挑战。在本报告中,我们将研究物联网和云计算,并解决云兼容问题和计算技术,以促进物联网程序向云的稳定过渡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT and Cloud Computing Issues, Challenges and Opportunities: A Review
With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The delivery of cloud computing is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this report, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote the stable transition of IoT programs to the cloud.
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