The Rise of Robotics Data for Real-Time Management Based on New NoSQL Solution

Afef Gueidi, Hamza Gharsellaoui and Samir Ben Ahmed
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Afef Gueidi: LISI-INSAT Laboratory, Carthage University, Tunis, Tunisia
Hamza Gharsellaoui: Khurmah University College, Taif University, Saudi Arabia
Samir Ben Ahmed: LISI-INSAT Laboratory, Carthage University, Tunis, Tunisia

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2019, vol. 11, issue 2, 11-26

Abstract: In the face of the rapid growth of data, the authors note the birth of new computer systems leading the management of databases. To ensure reliable handling of data which is bulky and heterogeneous, new systems of basic management data are differentiated from traditional ones by their linear scalability to store and manage data in parallel. Those systems are called NoSQL DB. Robotics database management systems are increasing. These systems ensure good storage of data and with big data analytics, a new approach demands new structures and methods for collecting, recording, and analyzing enterprise data. This journal article deals with the NoSQL DB which are the secret of the continual progression data that new data management solutions have emerged. The implementation of NoSQL for Robotics wrestles all data they acquire into a usable form because with the ordinary type of Robotics, people are facing big limits to find the best decision in real-time. The authors' proposed approach was based on a combination of some experimental studies in the same area.

Date: 2019
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