2026

1. El Kafhali, S., (2026). A Survey of Adaptive Scheduling Techniques, Goals, and Challenges in Kubernetes. Archives of Computational Methods in Engineering.  In Press.  (PDF) (IF 12.1)

2. Tayebi, M., & El Kafhali, S. (2026). Attention-Enhanced BiLSTM-ANN Framework with CNN-Based Feature Selection for Advanced Threat Detection. International Journal of Machine Learning and Cybernetics. In Press.  (IF 2.7)

2025

3. El Kafhali, S., & Ghandour, O. (2025). DSGTA: A Dynamic and Stochastic Game-Theoretic Allocation Model for Scalable and Efficient Resource Management in Multi-Tenant Cloud Environments.  Future Internet. 17(12), 583. (IF 3.6)

4. Ghandour, O., El Kafhali, S., & El Mir, I. (2025). Scalable Overload Prediction in Cloud Computing Using a Hybrid Queuing-Theoretic and Machine Learning Framework.  Computing. 107 (12), 231 .  (PDF) (IF 2.8)

5. Hafdi, Z. S., & El Kafhali, S. (2025).  Tabular-to-Image Conversion and CNN Feature Extraction for Predicting Academic Success in Higher Education. The 4th International Conference on Artificial Intelligence and Smart Data Science (AISDS'2025) . Accepted

6. Ghandour, O., El Kafhali, S., & Haqiq, A. (2025). Hybrid Game-Theoretic and Machine Learning Framework for Fair and Efficient Resource Allocation in Cloud Computing. The 4th International Conference on Artificial Intelligence and Smart Data Science (AISDS'2025) . Accepted

7. Amahrouch, A., Saadi, Y., &  El Kafhali, S.  (2025). AI-Driven Adaptive VM Placement Using Performance-to-Power Ratio for Sustainable Data Center Management. Artificial Intelligence and Applications. Online First. 

8. Tayebi, M., & El Kafhali, S. (2025). Enhancing IoT Security with Advanced GAN Architectures for Cyberattacks Detection. Cluster Computing. 28 (15), 1008. (PDF)  (IF 4.1)

9. Idrissi, N., Hair, A., Lazaar, M., Saadi, Y., Chakib, H., Erritali, M., & El Kafhali, S. (Eds.). (2025). Artificial Intelligence and Green Computing: Proceedings of the 2nd International Conference on Artificial Intelligence and Green Computing ICAIGC 2025  (Vol. 1589). Springer Nature.

10. Amahrouch, A., Saadi, Y., &  El Kafhali, S.  (2025). Energy and Thermal Optimization in Data Centers: Virtual Machine Placement Based on Performance-to-Power Ratio.  In International Conference on Artificial Intelligence and Green Computing (pp. 211-221). Cham: Springer Nature Switzerland. 

11. Mikram, H., El Kafhali, S. & El Mir, I. (2025). A Hybrid Optimization Algorithm for Efficient Task Scheduling and Resource Utilization in Cloud Computing Systems.  In International Conference on Artificial Intelligence and Green Computing (pp. 267-278). Cham: Springer Nature Switzerland. 

12. Mikram, H., & El Kafhali, S. (2025). Optimizing workflow scheduling for efficient resource ‎utilization in scalable cloud computing data centers. SIMULATION. 101(11), 1133-1151. (IF 2.0)

13. Bouqaffa, M., & El Kafhali, S. (2025). A Review of Hybrid Metaheuristic Algorithms for Workflow Scheduling in Cloud Computing. Advances in Intelligent Systems and Digital Applications: Proceedings of ISDA 2025, Volume 2, 327–338. Cham: Springer International Publishing.

14. Ghandour, O., El Kafhali, S., & El Mir, I. (2025). Priority-Based Queuing Model for Efficient Healthcare Task Execution in Cloud Computing. Advances in Intelligent Systems and Digital Applications: Proceedings of ISDA 2025, Volume 1, 328–338. Cham: Springer International Publishing.

15. Tayebi, M., & El Kafhali, S. (2025). Performance Analysis of Recurrent Neural Networks for Intrusion Detection Systems in Industrial-Internet of Things.  Franklin Open. 12, 100310.

16. Ghandour, O., El Kafhali, S., & Hanini, M. (2025). Game-Theoretic Feature Attribution for Interpretable Energy Load Prediction in Artificial Intelligence Systems.  International Conference on Artificial Intelligence and Cognitive Science for Emerging Technologies (AICSET 2025). Accepted

17. Bouqaffa, M., El Kafhali, S. (2025).  Performance Evaluation of Hybrid Metaheuristic Algorithms for Workflow Scheduling in Cloud Environments. International Conference on Artificial Intelligence and Cognitive Science for Emerging Technologies (AICSET 2025). Accepted

18. Hafdi, Z. S., & El Kafhali, S. (2025).  A Hybrid Ensemble Learning Framework for Early Dropout Prediction in Learning Management Systems. International Conference on Artificial Intelligence and Cognitive Science for Emerging Technologies (AICSET 2025). Accepted

19. Tayebi, M., El Kafhali, S., & Haqiq, A. (2025). Recurrent Neural Networks for Intrusion Detection Systems in Industrial-Internet of Things.  International Conference on Artificial Intelligence and Cognitive Science for Emerging Technologies (AICSET 2025). Accepted

20. Hafdi, Z. S., & El Kafhali, S. (2025). A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses. AppliedMath. 5(2), 75. (IF 0.7) 

21. Amahrouch, A., Saadi, Y., &  El Kafhali, S.  (2025). Optimizing Energy Efficiency in Cloud Data Centers: A ‎Reinforcement Learning-Based Virtual Machine ‎Placement Strategy. Network. 5(2), 17. (IF 3.1) 

22. Tayebi, M., & El Kafhali, S. (2025). A Novel Approach based on XGBoost Classifier and Bayesian Optimization for Credit Card Fraud Detection. Cyber Security and Applications. 3, 100093.

23. Abid, M., El Kafhali, S., Amzil, A., & Hanini, M. (2025). Optimization of UAV Flight Paths in Multi-UAV Networks for Efficient Data Collection. Arabian Journal for Science and Engineering. 30(10), 7207-7232. (PDF) (IF 2.9)

24. Mikram, H., & El Kafhali, S. (2025). CHPSO: An efficient algorithm for task scheduling and optimizing resource utilization in the cloud environment. Journal of Grid Computing. 23(2), 15. (PDF) (IF 2.9)

25. Tayebi, M., & El Kafhali, S. (2025). Generative Modeling for Imbalanced Credit Card Fraud Transaction Detection. Journal of Cybersecurity and Privacy. 5(1), 9.  (IF 3.7)

26. Tayebi, M., & El Kafhali, S. (2025). Combining Autoencoders and Deep Learning for Effective Fraud Detection in Credit Card Transactions. Operations Research Forum. 6(1), 8.

27. Tissir, N., Aboutabit, N., & El Kafhali, S. (2025). Detection and prevention of Man-in-The-Middle attack in ‎cloud computing using Openstack. Bulletin of Electrical Engineering and Informatics. 14(1), 377-387.

2024

28. Mikram, H., & El Kafhali, S. (2024, December). AI-Driven Autonomous Systems for Optimal Management of Fog Computing Resources.  In The 7th International Conference on Advanced Communication Technologies and Networking (CommNet 2024) (pp. 1-7). IEEE.

29. Mohamed, N., El Kafhali, S., Hajami, A., & Haqiq, A. (2024). Cross-Layer Greedy-Based Routing in VANETs: Virtual Multi-Backbones Approach. Applied Computational Intelligence and Soft Computing. vol. 2024, Article ID 5750055, 14 pages, 2024. (IF 2.9)

30. Ghandour, O., El Kafhali, S., & Hanini, M. (2024). Adaptive Workload Management in Cloud Computing for Service Level Agreements Compliance and Resource Optimization. Computers and Electrical Engineering. 120, 109712.  (IF 4.9)

31. Hassaoui, M., Hanini, M., & El Kafhali, S. (2024). Data Science in Cyber-security to detect Malware based Domain Generation Algorithm: Improvement, challenges, and prospects. Journal of Computational and Cognitive Engineering. 3(3), 213-225.

32. Amzil, A., Abid, M., Hanini, M., Zaaloul, A., & El Kafhali, S. (2024). Stochastic Analysis of Fog Computing and Machine Learning for Scalable Low-Latency Healthcare Monitoring. Cluster Computing. 27(5), 6097–6117.   (IF 4.1) 

33. El Kafhali, S.,  Tayebi, M., & Sulimani, H. (2024). An Optimized Deep Learning Approach for ‎Detecting Fraudulent Transactions. Information. 15(4), 227. (IF 2.9) 

34. Amahrouch, A., Bouhamidi, M., Saadi, Y., &  El Kafhali, S.  (2024, May). An Efficient Model based on Machine Learning Algorithms for Virtual Machines Classification in Cloud Computing Environment. In 4th The International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET’2024) (pp. 1-6). IEEE.

35. El Kafhali, S., "Blockchain based Electronic Voting System: Significance and Requirements," Mathematical Problems in Engineering, vol. 2024, Article ID 5591147, 17 pages, 2024. 

36. Hassaoui, M., Hanini, M., & El Kafhali, S. (2024). Unsupervised clustering for a comparative methodology of machine learning models to detect domain-generated algorithms based on an alphanumeric features analysis.  Journal of Network and Systems Management.  32(1), 1-38. (IF 3.9) (PDF)

37. Mikram, H., El Kafhali, S., & Saadi, Y. (2024). HEPGA: a new effective hybrid ‎algorithm for scientific workflow scheduling in cloud computing environment. Simulation Modelling Practice and Theory. 130, 102864.  (IF 4.6) (PDF)

38. Tayebi, M., & El Kafhali, S. (2024). Performance analysis of metaheuristics based hyperparameters optimization for fraud transactions detection. Evolutionary Intelligence, 17(2), 921-939. (IF 2.6) (PDF)

2023

39. Ghandour, O., El Kafhali, S., & Hanini, M. (2023). Computing Resources Scalability Performance Analysis in Cloud Computing Data Center. Journal of Grid Computing, 21(4), 61.  (IF 2.9) (PDF)

40. Abid, M., El Kafhali, S., Amzil, A., & Hanini, M., "Solving the 0/1 Knapsack Problem using Metaheuristic and Neural Networks for the Virtual Machine Placement Process in Cloud Computing Environment.," Mathematical Problems in Engineering, vol. 2023, Article ID 1742922, 17 pages, 2023. 

41. Saadi, Y., Jounaidi, S., El Kafhali, S., & Zougagh, H. (2023). Reducing Energy Footprint in Cloud Computing: A Study on the Impact of Clustering Techniques and Scheduling Algorithms for Scientific Workflows. Computing, 105(10),  2231-2261. (IF 2.8)  (PDF)

42. Hassaoui, M., Hanini, M., & El Kafhali, S. (2023). Domain generated algorithms detection applying a combination of a deep feature selection and traditional machine learning models.  Journal of Computer Security, 31(1), 85-105.  (IF 1.3)

43. Tayebi, M., &  El Kafhali, S. (2023, November).  A weighted average ensemble learning based on the cuckoo search algorithm for fraud transactions detection.  In The 14th International Conference on Intelligent Systems: Theories and Applications (SITA'23) (pp. 1-6). IEEE.

44. Mikram, H., El Kafhali, S., & Saadi, Y. (2023, November). A hybrid algorithm based on PSO algorithm and Chi-squared distribution for tasks consolidation in cloud computing environment.  In The 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech'23 ) (pp. 1-6). IEEE.

45. Hafdi, Z. S., & El Kafhali, S. (2023, March). Student performance prediction in learning management system using small dataset.  In The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023 (pp. 197-205). Cham: Springer Nature Switzerland. 

46. Abid, M., El Kafhali, S., Amzil, A., & Hanini, M. (2023, March). An efficient meta-heuristic methods for traveling salesman problem. In The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023 (pp. 498-507). Cham: Springer Nature Switzerland. 

47. Mikram, H., El Kafhali, S., & Saadi, Y. (2023, March). Metaheuristic algorithms based server consolidation for tasks scheduling in cloud computing environment.  In The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023 (pp. 477-486). Cham: Springer Nature Switzerland. 

48. Amzil, A., Hanini, M., Zaaloul, A., Abid, M., & El Kafhali, S. (2023, January). Minimization of Task Offloading Latency for COVID-19 IoT Devices. In The International Conference on Intelligent System and Smart Technologies (pp. 189-198). Cham: Springer International Publishing. 

49. Mikram, H., El Kafhali, S., & Saadi, Y. (2023). Processing time performance analysis of scheduling algorithms for virtual machines placement in cloud computing environment. In International Conference On Big Data and Internet of Things (pp. 200-211). Springer, Cham. 

50. Abid, M., El Kafhali, S., Amzil, A., & Hanini, M. (2023). Unmanned aerial vehicle-assisted clustered wireless sensor network data collection efficiency improvement. In Modern Artificial Intelligence and Data Science: Tools, Techniques and Systems (pp. 281-294). Cham: Springer Nature Switzerland. 

51. El Kafhali, S., & El Mir, I. (2023). Exploring the effectiveness of cloud, Internet of Things and fog computing for healthcare monitoring systems. In Computational Intelligence for Medical Internet of Things (MIoT) Application systems (pp. 77-91). Elsevier 

52. El Mir, I., & El Kafhali, S. (2023).  The state of the art of using artificial intelligence for disease identification and diagnosis in healthcare. In Deep Learning for Healthcare Decision Making (pp. 47-76). River Publishers

53. Idrissi, N., Hair, A., Lazaar, M., Saadi, Y., Erritali, M., & El Kafhali, S. (Eds.). (2023). Artificial Intelligence and Green Computing: Proceedings of the International Conference on Artificial Intelligence and Green Computing (Vol. 806). Springer Nature. 

2022

54. Tayebi, M., & El Kafhali, S. (2022). Credit card fraud detection based on hyperparameters ‎optimization using the differential evolution.  International Journal of Information Security and Privacy (IJISP), 16(1), 1-21.  (IF 0.9) 

55. Mikram, H., El Kafhali, S., & Saadi, Y. (2022).  Server Consolidation Algorithms for Cloud Computing: Taxonomies and Systematic Analysis of Literature.  International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-24.

56. El Kafhali, S., El Mir, I., & Hanini, M. (2022). Security Threats, Defense Mechanisms, Challenges, and Future Directions in Cloud Computing. Archives of Computational Methods in Engineering, 29(1), 223-246.  (IF 12.1)  (PDF)

57. El Kafhali, S., & Tayebi, M. (2022, December).  Generative Adversarial Neural Networks Based Oversampling Technique for Imbalanced Credit Card Dataset.  In 2022 6th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI) (pp. 1-5). IEEE. 

58. El Kafhali, S., & Tayebi, M. (2022, November). XGBoost based solutions for detecting fraudulent credit card transactions.   In 2022 International Conference on Advanced Creative Networks and Intelligent Systems (ICACNIS) (pp. 1-6). IEEE. 

59. Mikram, H., El Kafhali, S., & Saadi, Y. (2022, November). Performance Analysis of Scheduling Algorithms for Virtual Machines and Tasks in Cloud Computing.  In The International Conference of Advanced Computing and Informatics (ICACIN 2022) (pp. 278-289).  Cham: Springer International Publishing.

60. Hassaoui, M., Hanini, M., & El Kafhali, S. (2022, May). A comparative study of neural networks algorithms in cyber-security to detect domain generation algorithms based on mixed classes of data. In International Conference on Advanced Intelligent Systems for Sustainable Development (pp. 240-250). Cham: Springer Nature Switzerland. 

61. El Kafhali, S., & El Mir, I. (2022).  Artificial intelligence-based diseases detection and diagnosis in healthcare. In Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, 38, (pp. 371-387). Institution of Engineering and Technology (The IET)

2021

62. Tissir, N., El Kafhali, S., & Aboutabit, N. (2021). Cybersecurity management in cloud computing: semantic literature review and conceptual framework proposal. Journal of Reliable Intelligent Environments, 7(2), 69-84.  (PDF)

63. Tayebi, M., & El Kafhali, S. (2021, May). Hyperparameter optimization using genetic algorithms to detect frauds transactions. In Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (pp. 288-297). Cham: Springer International Publishing.  

64. Jaouhar, E. M., El Kafhali, S., & Saadi, Y. (2021, March). A Study of Machine Learning based Approach for Hotels’ Matching. In Proceedings of the 5th International Conference on Big Data and Internet of Things (pp. 373-384). Cham: Springer International Publishing. 

65. El Mir, I., El Kafhali, S., & Haqiq, A. (2021, March). A hybrid learning approach for text classification using natural language processing. In Proceedings of the 5th International Conference on Big Data and Internet of Things (pp. 428-439). Cham: Springer International Publishing. 

66. Aattouf, A., El Kafhali, S., & Saadi, Y. (2021). Predicting the e-signing likelihood of loan using machine learning models combining clustering with supervised learning. In Advances on Smart and Soft Computing: Proceedings of ICACIn 2021 (pp. 121-131). Singapore: Springer Singapore. 

67. Fatrah, A., El Kafhali, S., Salah, K., & Haqiq, A. (2021). Transparent blockchain based voting system: guide to massive deployments. In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 (pp. 237-246). Springer International Publishing. 

68. Tissir, N., El Kafhali, S., & Aboutabit, N. (2021). How Much Your Cloud Management Platform Is Secure? OpenStack use case. In Innovations in Smart Cities Applications Volume 4: The Proceedings of the 5th International Conference on Smart City Applications (pp. 1117-1129). Springer International Publishing. 

69. Tayebi, M., & El Kafhali, S. (2021). Deep neural networks hyperparameter optimization using particle swarm optimization for detecting frauds transactions. In Advances on Smart and Soft Computing: Proceedings of ICACIn 2021 (pp. 507-516). Springer Singapore. 

70. El Kafhali, S., & Lazaar, M. (2021). Artificial intelligence for healthcare: roles, challenges, and applications. In Intelligent Systems in Big Data, Semantic Web and Machine Learning (pp. 141-156). Springer, Cham 

2020

71. El Kafhali, S., El Mir, I., Salah, K., & Hanini, M. (2020). Dynamic Scalability Model for Containerized Cloud Services. Arabian Journal for Science and Engineering, 45(12), 10693-10708. (IF 2.9)  (PDF)

72. Saadi, Y., & El Kafhali, S. (2020). Energy efficient strategy for virtual machines consolidation in cloud environment. Soft Computing, 24(19), 14845-14859. (IF 4.1)  (PDF)

73. Tissir, N., El Kafhali, S., & Aboutabit, N. (2020, November). Cloud computing security classifications and taxonomies: a comprehensive study and comparison. In 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) (pp. 1-6). IEEE. 

2019

74. Hanini, M., El Kafhali, S., & Salah, K. (2019). Dynamic VM Allocation and Traffic Control to Manage QoS and Energy Consumption in Cloud Computing Environment. International Journal of Computer Applications in Technology, 60(4), 307-316. (IF 0.6)  

75. El Kafhali, S., & Salah, K. (2019). Performance Modeling and Analysis of IoT-enabled Healthcare Monitoring Systems. IET Networks, 8(1), 48-58. (IF 1.4)  (PDF)

76. Ouammou, A., Hanini, M., Ben Tahar, A., & El Kafhali, S. (2019, October). Analysis of a M/M/k system with exponential setup times using the reservation of servers. In Proceedings of the 4th International Conference on Big Data and Internet of Things (pp. 1-5). 

77. El Kafhali, S., Chahir, C., Hanini, M., & Salah, K. (2019, October). Architecture to manage Internet of Things Data using Blockchain and Fog Computing. In Proceedings of the 4th international conference on big data and internet of things (pp. 1-8). 

78. Fatrah, A., El Kafhali, S., Haqiq, A., & Salah, K. (2019, October). Proof of Concept Blockchain based Voting System. In Proceedings of the 4th International Conference on Big Data and Internet of Things (pp. 1-5). 

2018

79. El Kafhali, S., & Salah, K. (2018). Modeling and Analysis of Performance and Energy Consumption in Cloud Data Centers. Arabian Journal for Science and Engineering, 43(12), 7789-7802. (IF 2.9)  (PDF)

80. Ouammou, A., Ben Tahar, A.,  Hanini, M., & El Kafhali, S. (2018). Modeling and Analysis of Quality of Service and Energy Consumption in Cloud Environment. International Journal of Computer information Systems and Industrial Management Applications, 10, 98-106. 2018.

81. El Kafhali, S., & Salah, K. (2018). Performance Analysis of Multi-Core VMs hosting Cloud SaaS Applications. Computer Standards & Interfaces, 55, 126-135. (IF 5)  

82. Ouammou, A., Hanini, M., BenTahar, A., & El Kafhali, S. (2018). Dynamic programming approach to manage virtual machines allocation in cloud computing. International Journal of Engineering & Technology, 7(4.6), 128-132. 

83. El Kafhali, S., Salah, K., & Ben Alla, S. (2018, November). Performance Evaluation of IoT-Fog-Cloud Deployment for Healthcare Services. In 2018 4th international conference on cloud computing technologies and applications (Cloudtech) (pp. 1-6). IEEE. 

84. Ouammou, A., Hanini, M., El Kafhali, S., & Ben Tahar, A. (2018). Energy consumption and cost analysis for data centers with workload control. In Innovations in Bio-Inspired Computing and Applications: Proceedings of the 8th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2017) held in Marrakech, Morocco, December 11-13, 2017 (pp. 92-101). Springer International Publishing. 

2017

85. El Kafhali, S., & Salah, K. (2017). Efficient and dynamic scaling of fog nodes for IoT devices. Journal of Supercomputing, 73(12), 5261-5284. (IF 3.3)  (PDF)

86. Salah, K. & El Kafhali, S. (2017). Performance Modeling and Analysis of Hypoexponential Network Servers. Telecommunication Systems, 65(4), 717-728. (IF 2.5)  

87. El Kafhali, S., & Hanini, M. (2017). Stochastic Modeling and Analysis of Feedback Control on the QoS VoIP Traffic in a single cell IEEE 802.16e Networks. IAENG International Journal of Computer Science, 44(1), 19-28. (IF 1.547)   (PDF)

88. Zekri, M., El Kafhali, S., Hanini, M., & Aboutabit, N. (2017). Mitigating Economic Denial of Sustainability Attacks to Secure Cloud Computing Environments. Transactions on Machine Learning and Artificial Intelligence, 5(4), 473-481.

89. Zekri, M., El Kafhali, S., Aboutabit, N., & Saadi, Y. (2017, October). DDoS Attack Detection using Machine Learning Techniques in Cloud Computing Environments. In 2017 3rd international conference of cloud computing technologies and applications (CloudTech) (pp. 1-7). IEEE. 

90. Rahel, S., Jamali, A., & El Kafhali, S. (2017, October). Energy-efficient on caching in Named Data Networking: A survey. In 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech) (pp. 1-8). IEEE. 

91. Hanini, M., & El Kafhali, S. (2017, March). Cloud Computing Performance Evaluation under Dynamic Resource Utilization and Traffic Control. In Proceedings of the 2nd international Conference on Big Data, Cloud and Applications (pp. 1-6). 

92. El Kafhali, S., & Salah, K. (2017, March). Stochastic Modelling and Analysis of Cloud Computing Data Center. In 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN) (pp. 122-126). IEEE. 

2014

93. El Kafhali, S., Hanini, M., & Haqiq, A. (2014). Energy Consumption and QoS Performances to Compare Combined Routing Protocol and Mobility Model For CBR Traffic in MANET. Journal of Theoretical and Applied Information Technology, 69(1), 188-199.

2013

94. El Kafhali, S., & Haqiq, A. (2013). Effect of Mobility and Traffic Models on the Energy Consumption in MANET Routing Protocols. International Journal of Soft Computing and Engineering, 3(1), 242-249.

2012

95. Saadi, Y., El Kafhali, S., Haqiq, A., & Bouchaib, N. (2012). Simulation Analysis of Routing Protocols using Manhattan Grid Mobility Model in MANET. International Journal of Computer Applications, 45(23), 24-30.

96. El Bouchti, A., Haqiq, A.,  & El Kafhali, S. (2012). Quality of Service Analysis and Queuing Performance Modeling of Orthogonal Frequency Division Multiple Access based IEEE 802.16/WiMAX System. International Journal of Mobile Computing and Multimedia Communications, 4(3), 54-70.

97. El Kafhali, S., El Bouchti, A., Hanini, M., & Haqiq, A. (2012). Performance Analysis for Bandwidth Allocation in IEEE 802.16 Broadband Wireless Networks using BMAP Queueing. International Journal of Wireless & Mobile Networks, 4(1), 139-154.

98. El Bouchti, A., Haqiq, A., & El Kafhali, S. (2012). Analysis of Quality of Service Performances of Connection Admission Control Mechanisms in OFDMA IEEE 802.16 Network using BMAP Queuing. International Journal of Computer Science Issues, 9(1), 302-310.

2011

99. El Kafhali, S., Hanini, M., El Bouchti, A., & Haqiq, A. (2011). Performances Evaluation of Enhanced Basic Time Space Priority combined with an AQM. International Journal of Computer Science and Information Security, 9(8), 60-66. 

100. Hanini, M., El Kafhali, S., Haqiq, A., & Berqia, A. (2011). Effect of the Feedback Function on the QoS in a Time Space Priority with Active Queue Management. International Journal of Computer Science and Telecommunications, 2(4), 61-65.

101. El Bouchti, A., El Kafhali, S., & Haqiq, A. (2011). Performance Modeling and Analysis of Connection Admission Control in OFDMA based WiMAX System with MMPP Queueing. World of Computer Science and Information Technology, 1(4), 148 -156.

102. El Bouchti, A., El Kafhali, S., & Haqiq, A. (2011). Performance Analysis of Connection Admission Control Scheme in IEEE 802.16 OFDMA Networks. International Journal of Computer Science and Information Security, 9(3), 45-51.

103. El Bouchti, A., El Kafhali, S., & Haqiq, A. (2011, December). Queueing Performance Analysis of CAC Scheme in OFDMA based WiMAX System. In 2011 3rd International Conference on Next Generation Networks and Services (NGNS) (pp. 62-67). IEEE.