Title
Computer-Aided Software Engineering (Case) Tool For Big Data And Iot Architecture
Abstract
Building a new Business Intelligence (BI) architectures for big data and Internet of Things (IoT) is a complex task. It aims to satisfy the needs of decision makers by taking into consideration several constraints and requirements (volume, velocity, and variety). This can influence the decision of choosing the most appropriate tools, techniques, and technologies in the data flow management for IoT solutions. With the aim of helping the decision makers to control their analytical needs and to achieve the business goals, we propose a Computer-Aided Software Engineering (CASE) tool that supports the design of BI for IoT architecture (BIIoT) based on knowledge. It recommends existing technologies which fit well with the scalability of the business requirements and verifies the data flow in the proposed architecture. Thus, the BIIoT tool is validated through a use case related to agriculture service provisioning.
Year
DOI
Venue
2019
10.1109/IWCMC.2019.8766522
2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC)
Keywords
Field
DocType
Internet of Things, Big Data, Architecture, Business Intelligence, Data-flow
Architecture,Iot architecture,Software engineering,Computer science,Business requirements,Computer-aided software engineering,Business intelligence,Big data,Scalability,Distributed computing,Data flow diagram
Conference
ISSN
Citations 
PageRank 
2376-6492
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
M. Saifeddine Hadj Sassi100.68
Faiza Ghozzi Jedidi200.68
Lamia Chaari Fourati37824.90