Big Data Paradigm: Methods, Tools and Applications, Case of the Internet of Things
Loading...
Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
UNIVERSITY 20 AUGUST 1955 - SKIKDA
Abstract
Big data’s distinguishing features include its substantial volume, swift
velocity, and wide-ranging variety of data types, which present obstacles
for traditional data processing software. The proliferation of big data is
propelled by the Internet of Things (IoT), which produces massive data volumes
via interconnected devices. The collaboration between IoT and big data is
revolutionary, facilitating the development of intelligent applications across
various fields, such as healthcare and higher education.
This thesis discusses the challenges and opportunities in managing and
extracting insights from Big Data, mainly focusing on IoT-generated Big Data
in sectors like higher education and environmental perception and management.
It highlights the potential benefits of utilizing Big Data in these sectors and
emphasizes the importance of advanced technologies for improving monitoring,
analysis, and response mechanisms.
In higher education, the study introduces the concept of Big Data Analytics
(BDA) for improving student performance and decision-making, presenting a
model for educational supply chain management and predictive analytics for
student outcomes. In environmental management, a multi-layered architecture
leveraging IoT and fog computing is proposed for forest fire management,
emphasizing the importance of fog computing in handling data volume and
improving system response time to fire incidents. Implementing advanced
technologies like BDA and fog computing can significantly enhance efficiency
and decision-making processes in various fields, revolutionizing how data is
managed and utilized.
Description
Keywords
Big Data Paradigm, Methods, Tools and Applications, Higher education