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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Cloud Computing using Internet of Thinks (IoT) in Big Data Storage

Authors: K. Thamizhmaran;

Cloud Computing using Internet of Thinks (IoT) in Big Data Storage

Abstract

Applications for the Internet of Things (IoT) have become a significant area of study for researchers and engineers alike, particularly data analysts. This is because of the volume and influence of data-related issues that need to be resolved in high-level corporate organizations, particularly in the cloud. It offers a functional framework that delineates the domains of IoT big data collecting, management, processing, and mining. Additionally, a number of related technical modules are defined and characterized based on their salient features and capacities. IoT-related research is being processed at the moment. Additionally, the potential and difficulties related to IoT big data research are noted. Studying important IoT application publications and research topics based on relevant scholarly and commercial publications are also aided by it. It raises issues, some common ones being provided inside the suggested framework for IoT-related research.

Keywords

IoT applications, big data, cloud computing, data management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green