Authors:
Afef Gueidi
1
;
Hamza Gharsellaoui
2
and
Samir Ben Ahmed
1
Affiliations:
1
Carthage University and Tunis El Manar University, Tunisia
;
2
Carthage University and TVTC, Tunisia
Keyword(s):
A NoSQL Database, Embedded Databases, Optimization Problems, Real-time Interrogation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Data Communication Networking
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Intelligent Problem Solving
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Performance Evaluation
;
Software Engineering
;
Software Project Management
;
Symbolic Systems
;
Telecommunications
Abstract:
In nowadays industry, embedded databases which display a mixture of multimedia signals and big data with
modal interfaces need to be highly reconfigurable to meet real-time constraints, data stores optimization problems
and to solve requirements problem in order to achieve high scalability and availability. This paper deals
with a multi-objective extracting, managing and interrogating problem for a reconfigurable real-time embedded
databases. In this case, new methods are required and NoSQL database created for solving the mentioned
sub-problems and to be able to store big data effectively, demand for high performance when extracting, managing
and interrogating these embedded databases. We also discuss the advantages and disadvantages of a
NoSQL approach.