User profiles for Abderrahim Siam
Abderrahim SiamEnseignant Chercheur en informatique, Université Abbes Laghrour Khenchela Verified email at univ-khenchela.dz Cited by 70 |
Réorganisation dans les systèmes multi-agents
A Siam - 2005 - ccdz.cerist.dz
Les systèmes multi-agents comme solution privilégiée pour analyser concevoir et construire
les systhèmes logiciels complexes sont composés d'un ensemble d'agents autonomes en …
les systhèmes logiciels complexes sont composés d'un ensemble d'agents autonomes en …
[PDF][PDF] Approche basée Agents Mobiles et Composants pour développer des applications ouvertes et adaptables
A Siam - Université Constantine2 Abdelhamid Mehri …, 2015 - univ-constantine2.dz
Ce travail de recherche porte sur le développement d’applications distribuées, ouvertes et
adaptables en faisant intervenir les composants logiciels et les agents (mobiles et non …
adaptables en faisant intervenir les composants logiciels et les agents (mobiles et non …
Resources allocation in cloud computing: a survey
Cloud Computing is a model in which resources (Computing, Networking, Storage…) are
consumed on any utility such as computing power, storage space, servers and applications. …
consumed on any utility such as computing power, storage space, servers and applications. …
A Category-theoretic Approach to Organization-based Modeling of Multi Agent Systems on the Basis of Collective Phenomena and Organizations in Human Societies
S Abderrahim, R Maamri - Informatica, 2018 - informatica.si
This paper presents an idea of using category theory for developing organizational multi-agent
systems taking inspiration from collective phenomena and organizations in human …
systems taking inspiration from collective phenomena and organizations in human …
Abderrahim, Siam 409 Ahmed, Sabbir 789 Arai, Yuta 557 Arbaiy, Nureize 103
K Asakura, H Bae, J Bae, BM Balachandran… - Smart Innovation, Systems … - Springer
CCM 319 cell production 419 climate change 908 cloud based banking services 123 cloud
computing 123 clustering 821 collaborative filtering model 661 combinational disruption 3 …
computing 123 clustering 821 collaborative filtering model 661 combinational disruption 3 …
An approach based on software components and mobile agents for developing distributed applications with verification of validity criterion
S Abderrahim, M Ramdane… - 2012 Sixth International …, 2012 - ieeexplore.ieee.org
In this paper we present an approach based on software components for developing distributed
applications, we use mobile agents as connectors between components to support the …
applications, we use mobile agents as connectors between components to support the …
Minimal synchrony for implementing Timely Provable Reliable Send primitive with Byzantine failures
Broadcast abstractions are among the most important concepts in the field of fault tolerant
distributed computing. These abstractions are used by consensus algorithms as a …
distributed computing. These abstractions are used by consensus algorithms as a …
Multi-agent pursuit-evasion game based on organizational architecture
M El Habib Souidi, A Siam, Z Pei, S Piao - Journal of computing and …, 2019 - hrcak.srce.hr
Multi-agent coordination mechanisms are frequently used in pursuit-evasion games with the
aim of enabling the coalitions of the pursuers and unifying their individual skills to deal with …
aim of enabling the coalitions of the pursuers and unifying their individual skills to deal with …
A discrete crow search algorithm for mining quantitative association rules
Association rules are the specific data mining methods aiming to discover explicit relations
between the different attributes in a large dataset. However, in reality, several datasets may …
between the different attributes in a large dataset. However, in reality, several datasets may …
BiCSA-PUL: binary crow search algorithm for enhancing positive and unlabeled learning
This paper presents a novel metaheuristic binary crow search algorithm (CSA) designed for
positive-unlabeled (PU) learning, a paradigm where only positive and unlabeled data are …
positive-unlabeled (PU) learning, a paradigm where only positive and unlabeled data are …