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M. M. Sadeeq, N. M. Abdulkareem, S. R. Zeebaree, D. M. Ahmed, A. S. Sami, and R. R. Zebari, “IoT and Cloud computing issues, challenges and opportunities: A review,” Qubahan Academic Journal, vol. 1, no. 2, pp. 1-7, 2021. Search in Google Scholar

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P. Y. Abdullah, S. Zeebaree, H. M. Shukur, and K. Jacksi, “HRM system using cloud computing for Small and Medium Enterprises (SMEs),” Technology Reports of Kansai University, vol. 62, no. 04, p. 04, 2020. Search in Google Scholar

N. O. Salim, S. R. Zeebaree, M. A. Sadeeq, A. Radie, H. M. Shukur, and Z. N. Rashid, “Study for food recognition system using deep learning,” in Journal of Physics: Conference Series, 2021, vol. 1963, no. 1: IOP Publishing, p. 012014. Search in Google Scholar

K. Jacksi, R. K. Ibrahim, S. R. Zeebaree, R. R. Zebari, and M. A. Sadeeq, “Clustering documents based on semantic similarity using HAC and K-mean algorithms,” in 2020 International Conference on Advanced Science and Engineering (ICOASE), 2020: IEEE, pp. 205-210. Search in Google Scholar

H. S. Malallah, R. Qashi, L. M. Abdulrahman, M. A. Omer, and A. A. Yazdeen, “Performance Analysis of Enterprise Cloud Computing: A Review,” Journal of Applied Science and Technology Trends, vol. 4, no. 01, pp. 01-12, 2023. Search in Google Scholar

A. A. Yazdeen, R. Qashi, H. S. Malallah, L. M. Abdulrahman, and M. A. Omer, “Internet of Things Impact on Web Technology and Enterprise Systems,” Journal of Applied Science and Technology Trends, vol. 4, no. 01, pp. 19-33, 2023. Search in Google Scholar

L. M. Abdulrahman, S. H. Ahmed, Z. N. Rashid, Y. S. Jghef, T. M. Ghazi, and U. H. Jader, “Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework,” Journal of Applied Science and Technology Trends, vol. 4, no. 01, pp. 54-71, 2023. Search in Google Scholar

R. R. Zebari, S. R. Zeebaree, Z. N. Rashid, H. M. Shukur, A. Alkhayyat, and M. A. Sadeeq, “A Review on Automation Artificial Neural Networks based on Evolutionary Algorithms,” in 2021 14th International Conference on Developments in eSystems Engineering (DeSE), 2021: IEEE, pp. 235-240. Search in Google Scholar

M. A. Omer, A. A. Yazdeen, H. S. Malallah, and L. M. Abdulrahman, “A Survey on Cloud Security: Concepts, Types, Limitations, and Challenges,” Journal of Applied Science and Technology Trends, vol. 3, no. 02, pp. 47-57, 2022. Search in Google Scholar

S. Mohsin, B. W. Salim, A. K. Mohamedsaeed, B. F. Ibrahim, and S. R. Zeebaree, “American Sign Language Recognition Based on Transfer Learning Algorithms,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 5s, pp. 390-399, 2024. Search in Google Scholar

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H. M. Zangana and S. R. Zeebaree, “Distributed Systems for Artificial Intelligence in Cloud Computing: A Review of AI-Powered Applications and Services,” International Journal of Informatics, Information System and Computer Engineering (INJIISCOM), vol. 5, no. 1, pp. 1-20, 2024. Search in Google Scholar

B. W. Salim and S. R. Zeebaree, “Kurdish Sign Language Recognition Based on Transfer Learning,” International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 6s, pp. 232-245, 2023. Search in Google Scholar

L. M. Abdulrahman, S. R. Zeebaree, and N. Omar, “State of Art Survey for Designing and Implementing Regional Tourism Web based Systems,” Academic Journal of Nawroz University, vol. 11, no. 3, pp. 100-112, 2022. Search in Google Scholar

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N. M. ABDULKAREEM and S. R. ZEEBAREE, “OPTIMIZATION OF LOAD BALANCING ALGORITHMS TO DEAL WITH DDOS ATTACKS USING WHALE OPTIMIZATION ALGORITHM,” Journal of Duhok University, vol. 25, no. 2, pp. 65-85, 2022. Search in Google Scholar

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L. Zhao, Y. Yang, A. Munir, A. X. Liu, Y. Li, and W. Qu, “Optimizing Geo-Distributed Data Analytics with Coordinated Task Scheduling and Routing,” IEEE Trans. Parallel Distrib. Syst., vol. 31, no. 2, pp. 279–293, Feb. 2020, doi: 10.1109/TPDS.2019.2938164. Search in Google Scholar

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H. R. Faragardi, M. R. Saleh Sedghpour, S. Fazliahmadi, T. Fahringer, and N. Rasouli, “GRP-HEFT: A Budget-Constrained Resource Provisioning Scheme for Workflow Scheduling in IaaS Clouds,” IEEE Trans. Parallel Distrib. Syst., vol. 31, no. 6, pp. 1239–1254, Jun. 2020, doi: 10.1109/TPDS.2019.2961098. Search in Google Scholar

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C. Wu, E. Haihong, and M. Song, “A Distributed Task Scheduling System Suitable for Massive Environments,” in 2020 International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India, Feb. 2020, pp. 750–755. doi: 10.1109/ICICT48043.2020.9112531. Search in Google Scholar

G. L. Stavrinides and H. D. Karatza, “Scheduling Bag-of-Task-Chains in Distributed Systems,” in 2019 IEEE 14th International Symposium on Autonomous Decentralized System (ISADS), Utrecht, Netherlands, Apr. 2019, pp. 1–6. doi: 10.1109/ISADS45777.2019.9156029. Search in Google Scholar

N. Ding, X. Meng, Y. Zhao, and D. Wu, “ROS Task Scheduling Algorithm in Multi-Core System,” in 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), Tianjin, China, Dec. 2019, pp. 516–519. doi: 10.1109/ICPADS47876.2019.00078. Search in Google Scholar

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L. Huo, P. Shao, F. Ying, and L. Luo, “The Research on Task Scheduling Algorithm for the Cloud Management Platform of Mimic Common Operating Environment,” in 2019 18th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Wuhan, China, Nov. 2019, pp. 167–171. doi: 10.1109/DCABES48411.2019.00049. Search in Google Scholar

G. L. Stavrinides and H. D. Karatza, “Scheduling Different Types of Gang Jobs in Distributed Systems,” in 2019 International Conference on Computer, Information and Telecommunication Systems (CITS), Beijing, China, Aug. 2019, pp. 1–5. doi: 10.1109/CITS.2019.8862091. Search in Google Scholar

G. L. Stavrinides and H. D. Karatza, “Scheduling Different Types of Bag-of-Tasks Jobs in Distributed Systems,” in 2019 10th International Conference on Information and Communication Systems (ICICS), Irbid, Jordan, Jun. 2019, pp. 13–18. doi: 10.1109/IACS.2019.8809138. Search in Google Scholar

H. Susanto, A. M. Abdelmoniem, H. Zhang, B. Liu, and D. Towsley, “A Near Optimal Multi-Faced Job Scheduler for Datacenter Workloads,” in 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), Dallas, TX, USA, Jul. 2019, pp. 2026–2036. doi: 10.1109/ICDCS.2019.00200. Search in Google Scholar

Y. Zhang and M. Xie, “A More Accurate Delay Model based Task Scheduling in Cellular Edge Computing Systems,” in 2019 IEEE 5th International Conference on Computer and Communications (ICCC), Chengdu, China, Dec. 2019, pp. 72–76. doi: 10.1109/ICCC47050.2019.9064217. Search in Google Scholar

C. Yuwei, Z. Zhengyong, L. Zhengren, and L. Aijun, “A task scheduling method for network distributed flight control system,” in 2019 Chinese Automation Congress (CAC), Hangzhou, China, Nov. 2019, pp. 480–483. doi: 10.1109/CAC48633.2019.8996326. Search in Google Scholar

Y. Hajoui, O. Bouattane, M. Youssfi, and E. Illoussamen, “Application model of tasks scheduling problem in distributed systems solving problems of road traffic planning in smart cities,” in 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS), Marrakech, Morocco, Oct. 2019, pp. 1–7. doi: 10.1109/ICDS47004.2019.8942310. Search in Google Scholar

V. Freitas, A. de L. Santana, M. Castro, and L. L. Pilla, “Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling,” in 2019 International Conference on High Performance Computing & Simulation (HPCS), Dublin, Ireland, Jul. 2019, pp. 787–794. doi: 10.1109/HPCS48598.2019.9188134. Search in Google Scholar

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N. Deshai, R. S. Shankar, K. Sravani, and D. Ravibabu, “A Developed Task Allotments Policy for Apache Hadoop Executing in the Public Clouds,” in 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, Mar. 2019, pp. 1–4. doi: 10.1109/ICSCAN.2019.8878857. Search in Google Scholar

D. Cheng, X. Zhou, Z. Ding, Y. Wang, and M. Ji, “Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters,” IEEE Trans. Parallel Distrib. Syst., vol. 30, no. 2, pp. 375–387, Feb. 2019, doi: 10.1109/TPDS.2018.2865927. Search in Google Scholar

Y. Zhao, V. Gala, and H. Zeng, “A Unified Framework for Period and Priority Optimization in Distributed Hard Real-Time Systems,” IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst., vol. 37, no. 11, pp. 2188–2199, Nov. 2018, doi: 10.1109/TCAD.2018.2857380. Search in Google Scholar

J.-Q. Li, P. Duan, J. Cao, X.-P. Lin, and Y.-Y. Han, “A Hybrid Pareto-Based Tabu Search for the Distributed Flexible Job Shop Scheduling Problem With E/T Criteria,” IEEE Access, vol. 6, pp. 58883–58897, 2018, doi: 10.1109/ACCESS.2018.2873401. Search in Google Scholar

L. Qin, F. Ouyang, and G. Xiong, “Dependent task scheduling algorithm in distributed system,” in 2018 4th International Conference on Computer and Technology Applications (ICCTA), Istanbul, May 2018, pp. 91–95. doi: 10.1109/CATA.2018.8398662. Search in Google Scholar

S. Amin and R. Obermaisser, “A Time-Triggered Scheduling Algorithm for Active Diagnosis in Heterogeneous Distributed Systems,” in 2018 IEEE International Conference on Computational Science and Engineering (CSE), Bucharest, Oct. 2018, pp. 44–55. doi: 10.1109/CSE.2018.00013. Search in Google Scholar

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G. L. Stavrinides and H. D. Karatza, “Task Group Scheduling in Distributed Systems,” in 2018 International Conference on Computer, Information and Telecommunication Systems (CITS), Alsace, Colmar, France, Jul. 2018, pp. 1–5. doi: 10.1109/CITS.2018.8440181. Search in Google Scholar