IoT and cloud computing issues, difficulties and opportunities

Abstract

The Cloud is a centralised system that helps to deliver and transport data and various files across the Internet to data centres. The different data and programmes can be accessed easily from the centralised Cloud system. Cloud Computing is an economic solution, as it does not require on-site infrastructure for storage, processing and analytics. The scalability of Cloud Computing means that as your business grows, your technological and analytical capabilities can too. The relationship between IoT, Big Data and Cloud Computing creates ample opportunity for business to harness exponential growth. Put simply, IoT is the source of data, Big Data is an analytic platform of data, and Cloud Computing is the location for storage, scale and speed of access. The Internet of Things refers to the world’s collection of devices that gather and share information across various industries and sectors. In comparison, Big Data offers management and analytical capabilities for huge amounts of data across multiple platforms and systems. However, the interconnectivity between Big Data and Internet of Things means the two technologies share common goals and are predicted to follow a similar trajectory in the future. With the outstanding development of the Industrial Internet of Things (IIoT), various outlets continually produce a tremendous volume of information. It is unwise to locally store all the raw data in the IIoT devices since the end devices energy, and extra rooms are rigorously constrained. IoT networks empower re-appropriated information assortment and distributed storage regardless of the asset compelled nature of the IoT. For the following section of observation, there is a succession 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 transfering their data from in-house records to Cloud Computing Vendors hubs. Intensive IoT applications for workloads and data are liable to challenges while using distributed computing apparatuses. 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.