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ORCIDZaki Brahmi
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2020 – today
- 2024
[j9]Zaki Brahmi, Rihab Derouiche:
EQGSA-DPW: A Quantum-GSA Algorithm-Based Data Placement for Scientific Workflow in Cloud Computing Environment. J. Grid Comput. 22(3): 57 (2024)- [c40]Faten Sebri, Rocío Pérez de Prado, Zaki Brahmi:
MVBA\_TSC: Majority Voting and Bayesian Average-Based Trustful Service Composition in Cloud and Edge Environments. CEC 2024: 1-8 - 2023
- [j8]Hédi Hamdi
, Zaki Brahmi, Alaa S. Alaerjan, Lotfi Mhamdi:
Enhancing Security and Privacy Preservation of Sensitive Information in e-Health Datasets Using FCA Approach. IEEE Access 11: 62591-62604 (2023) - [j7]Zaki Brahmi, Afef Selmi:
Coordinate System-Based Trust-Aware Web Services Composition in Edge and Cloud Environment. Comput. J. 66(9): 2102-2117 (2023) - 2022
- [j6]Imen Souiden, Mohamed Nazih Omri, Zaki Brahmi:
A survey of outlier detection in high dimensional data streams. Comput. Sci. Rev. 44: 100463 (2022) - [j5]Hajer Toumi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
RTSLPS: Real time server load prediction system for the ever-changing cloud computing environment. J. King Saud Univ. Comput. Inf. Sci. 34(2): 342-353 (2022) - [c39]Imen Souiden, Zaki Brahmi, Mohamed Nazih Omri:
Binary Gravitational Subspace Search for Outlier Detection in High Dimensional Data Streams. ADMA (2) 2022: 157-169 - [c38]Jalel Eddine Hajlaoui, Zied Trifa, Zaki Brahmi:
Model Based Migration of Cloud Systems: Review and Roadmap. ICCSA (1) 2022: 249-264 - 2021
- [j4]Zaki Brahmi, Imen Souiden:
Outlier detection over data streams: survey. Int. J. Bus. Intell. Data Min. 19(4): 481-507 (2021) - 2020
- [c37]Hajer Toumi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Extended Hoeffding Adaptive Tree based-Server Load Prediction in Cloud Computing environment. HPC Asia 2020: 161-168 - [c36]Afef Selmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
PEA: Predicting Expert Agents approach. WETICE 2020: 20-23
2010 – 2019
- 2019
- [j3]Rihab Derouiche, Zaki Brahmi, Mohamed Mohsen Gammoudi, Sebastián García Galán:
E-DPSIW-FCA: Energy aware FCA-based Data Placement Strategy for Intensive Workflow. Scalable Comput. Pract. Exp. 20(3): 541-562 (2019) - [c35]Rihab Derouiche, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Cooperative Agents Based Data Placement Approach for Data Intensive Workflows. AICCSA 2019: 1-8 - [c34]Rihab Derouiche, Zaki Brahmi, Mohamed Mohsen Gammoudi:
FCA-based Energy Aware-data Placement Strategy for Intensive Workflow in Cloud Computing. KES 2019: 387-397 - [c33]Sameh Azouzi, Zaki Brahmi, Sonia Ayachi Ghannouchi:
Architecture for Discovery and Customization of Multi-tenant Learning Process as a service and resources allocation in cloud computing. SEKE 2019: 459-588 - [c32]Sameh Azouzi, Jalel Eddine Hajlaoui, Sonia Ayachi Ghannouchi, Zaki Brahmi:
E-Learning BPaaS Discovery in Cloud Based on a Structural Matching. SoMeT 2019: 176-189 - 2018
- [c31]Sabrine Amri, Zaki Brahmi, Rocío Pérez de Prado, Sebastián García Galán, José Enrique Muñoz Expósito, Adam Marchewka:
Interference-Aware Virtual Machine Placement: A Survey. IP&C 2018: 237-244 - [c30]Sameh Azouzi, Sonia Ayachi Ghannouchi, Zaki Brahmi:
Study of E-Learning System Based on Cloud Computing: A Survey. ISDA (2) 2018: 532-544 - [c29]Sameh Azouzi, Zaki Brahmi, Sonia Ayachi Ghannouchi:
Customization of multi-tenant learning process as a service with Business Process Feature Model. KES 2018: 606-615 - [c28]Marwa Mokni, Jalel Eddine Hajlaoui, Zaki Brahmi:
MAS-Based Approach for Scheduling Intensive Workflows in Cloud Computing. WETICE 2018: 15-20 - [c27]Wafa Ben Slama, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Interference-Aware Virtual Machine Placement in Cloud Computing System Approach Based on Fuzzy Formal Concepts Analysis. WETICE 2018: 48-53 - 2017
- [j2]Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
DR-SWDF: A Dynamically Reconfigurable Framework for Scientific Workflows Deployment in the Cloud. Scalable Comput. Pract. Exp. 18(2): 177-193 (2017) - [c26]Sabrine Amri, Hédi Hamdi, Zaki Brahmi:
Inter-VM Interference in Cloud Environments: A Survey. AICCSA 2017: 154-159 - [c25]Sameh Azouzi, Sonia Ayachi Ghannouchi, Zaki Brahmi:
Software Product Line to Express Variability in E-Learning Process. EMCIS 2017: 173-185 - [c24]Sameh Azouzi, Sonia Ayachi Ghannouchi, Zaki Brahmi:
Modeling of a Collaborative Learning Process with Business Process Model Notation. ICDEc 2017: 95-104 - [c23]Imen Souiden, Zaki Brahmi, Lamine Lafi:
Data Stream Mining Based-Outlier Prediction for Cloud Computing. ICDEc 2017: 131-142 - [c22]Hajer Toumi, Zaki Brahmi, Zoulaykha Benarfa, Mohamed Mohsen Gammoudi:
Server load prediction using stream mining. ICOIN 2017: 653-661 - [c21]Sameh Azouzi, Sonia Ayachi Ghannouchi, Zaki Brahmi:
Towards Supporting Modeling Variability in E-Learning Application: A Case Study. PDCAT 2017: 488-494 - [c20]Afef Selmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
PACT: A New Trust Prediction Method for Multi-agents Recommender Systems. WETICE 2017: 9-14 - 2016
- [c19]Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Energy Efficient Partitioning and Scheduling Approach for Scientific Workflows in the Cloud. SCC 2016: 146-154 - [c18]Zaki Brahmi, Faten Ben Hassen:
Communication-aware VM consolidation based on formal concept analysis. AICCSA 2016: 1-8 - [c17]Zaki Brahmi, Sahar Mili, Rihab Derouiche:
Data placement strategy for massive data applications based on FCA approach. AICCSA 2016: 1-8 - [c16]Takwa Mohsni, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Data-intensive service composition in Cloud Computing: State-of-the-art. AICCSA 2016: 1-7 - [c15]Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
QoS-Aware Scheduling of Workflows in Cloud Computing Environments. AINA 2016: 737-745 - [c14]Faten Ben Hassen, Zaki Brahmi, Hajer Toumi:
VM placement algorithm based on recruitment process within ant colonies. ICDEc 2016: 1-7 - [c13]Leila Helali, Zaki Brahmi:
Self-organizing Agents for Dynamic Network- and QoS-Aware Service Composition in Cloud Computing. ISAT (2) 2016: 111-124 - [c12]Imen Souiden, Zaki Brahmi, Hajer Toumi:
A Survey on Outlier Detection in the Context of Stream Mining: Review of Existing Approaches and Recommadations. ISDA 2016: 372-383 - [c11]Emna Hosni, Zaki Brahmi:
OaaS Based on Temporal Partitioning with Minimum Energy Consumption. KES 2016: 540-549 - [c10]Emna Hosni, Zaki Brahmi:
Energy-Aware Service Orchestration Based on Temporal Reconfigurable Architecture. WETICE 2016: 68-70 - 2015
- [c9]Amel Bousrih, Zaki Brahmi:
Optimizing cost and response time for data intensive services' composition based on ABC algorithm. ICTA 2015: 1-6 - 2014
- [c8]Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Cloud Services Orchestration: A Comparative Study of Existing Approaches. AINA Workshops 2014: 410-416 - [c7]Zaki Brahmi, Chaima Gharbi:
Temporal Reconfiguration-Based Orchestration Engine in the Cloud Computing. BIS 2014: 73-85 - [c6]Zaki Brahmi, Amine Lini, Mohamed Mohsen Gammoudi:
Mobile Agent Security Based on Artificial Immune System. SOCO-CISIS-ICEUTE 2014: 385-395 - 2013
- [c5]Lamine Lafi, Zaki Brahmi, Jamel Feki, Slimane Hammoudi:
Towards Generic Semi-Automatic Transformation Process in MDA. ICTA 2013: 1-7 - [c4]Zaki Brahmi:
QoS-aware Automatic Web Service Composition based on Cooperative Agents. WETICE 2013: 27-32 - 2011
- [j1]Zaki Brahmi, Mohamed Mohsen Gammoudi:
Cooperative agents-based decentralised and scalable approach for complex task allocation pro massive multi-agent system. Int. J. Intell. Inf. Database Syst. 5(5): 431-451 (2011) - 2010
- [c3]Zaki Brahmi, Mohamed Mohsen Gammoudi, Malek Ghenima:
Cooperative Agents Based-Decentralized and Scalable Complex Task Allocation Approach Pro Massive Multi-Agents System. ACIIDS (2) 2010: 420-430
2000 – 2009
- 2009
- [c2]Mounira Ilahi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Enhancing Decentralized MAS-Based Framework for Composite Web Services Orchestration and Exception Handling by Means of Mobile Agents Technology. AMT 2009: 347-356 - [c1]Zaki Brahmi, Mohamed Mohsen Gammoudi:
Hierarchical Organization of Agents Based on Galois Sub-Hierarchy for Complex Tasks Allocation in Massive MAS. KES-AMSTA 2009: 460-470
Coauthor Index
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last updated on 2024-08-21 20:23 CEST by the dblp team
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