IoT and Cloud computing issues, challenges and opportunities: A review

PhD in Computing

  ahmed.saifullah@uniq.edu.iq

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With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets constantly produce a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the end devices' energy, and storage spaces are strictly constrained by Selforganization and microorganisms. IoT networks enable outsourced data collection and cloud storage irrespective of the resource-constrained nature of the IoT. For the next segment of observations, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. Cloud computing delivery 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 paper, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote IoT programs' stable transition to the Cloud.

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