Research: Big data and IOT - Benefits, drawbacks, usage.
Internet of Things (IoT) plays an important role in the current and future generation of information, network, and communication developing and applications. Smart IoT is an exciting emerging research field that has great potential to transform both our understanding of fundamental computer science principles and our standard of living. IoT is being employed in more and more areas making.
Due to the generation of big data by IoT, the existing data-processing capacity of IoT is becoming ineffective, and it is imperative to incorporate big data technologies to promote the development of IoT. It is important to understand that the success of IoT lies upon the effective incorporation of big data analytics. The widespread deployment of IoT also gives a challenge to big data.
The results of IoT failures can be severe, therefore, the study and research in security issues in the IoT is of extreme significance. The main objective of IoT security is to preserve privacy, confidentiality, ensure the security of the users, infrastructures, data, and devices of the IoT, and guarantee the availability of the services offered by an IoT ecosystem.
The solution to the above problem can only be achieved through a Big IoT Data Analytics. This paper reviewed proprietary and open sourced Big IoT data analytics plateforms and bring forward a comparative analysis with objective to help for further research in the area of Big IoT Data Analytics.
IoT, Cloud Computing. Also, the conference will publish high-quality papers which are closely related to the various theories and practical applications in Big data, IoT, and Cloud computing. Furthermore, we expect that the conference and its publications will be a trigger for further related research and technology improvements in those important.
The massive scale innovation in deriving insights from big data is crucial in success of smart tourism. Smart tourism definitely provides context aware real time insights but at the same time it creates challenges in privacy concerns, rights to.
Big Data Analytics in Industrial IoT Using a Concentric Computing Model Abstract: The unprecedented proliferation of miniaturized sensors and intelligent communication, computing, and control technologies have paved the way for the development of the Industrial Internet of Things. The IIoT incorporates machine learning and massively parallel distributed systems such as clouds, clusters, and.