collaborators

5 papers

cs.DB2025

TCDRM: A Tenant Budget-Aware Data Replication Framework for Multi-Cloud Computing

Santatra Hagamalala Bernardin, Riad Mokadem, Franck Morvan +2

Multi-cloud computing systems face significant challenges in ensuring acceptable performance while adhering to tenant budget requirements. This paper proposes a tenant budget-aware…

cs.DC2025

Towards Designing an Energy Aware Data Replication Strategy for Cloud Systems Using Reinforcement Learning

Amir Najjar, Riad Mokadem, Jean-Marc Pierson

The rapid growth of global data volumes has created a demand for scalable distributed systems that can maintain a high quality of service. Data replication is a widely used techniq…

cs.DB2025

A Data Source Discovery Method using Several Domain Ontologies in P2P Environments (2014, IRIT research report)

Riad Mokadem

Several data source discovery methods take into account the semantic heterogeneity problems by using several Domain Ontologies (DOs). However, most of them impose a topology of map…

cs.DB2025

Equi join query acceleration using algebraic signatures (Published at IADIS'2008 Applied Computing conf.)

Riad Mokadem, Abdelkader Hameurlain, Franck Morvan

Evaluation of join queries is very challenging since they have to deal with an increasing data size. We study the relational join query processing realized by hash tables and we fo…

cs.DC2024

Towards using Reinforcement Learning for Scaling and Data Replication in Cloud Systems

Riad Mokadem, Fahem Arar, Djamel Eddine Zegour

Given its intuitive nature, many Cloud providers opt for threshold-based data replication to enable automatic resource scaling. However, setting thresholds effectively needs human…