References
- Aladwani, T. Scheduling IoT Healthcare Tasks in Fog Computing Based on Their Importance. – In: Proc. of International Learning and Technology Conference, 2019, pp. 560-569. DOI: 10.1016/j.procs.2019.12.138
- Dolui, K., S. K. Datta. Comparison of Edge Computing Implementations: Fog Computing, Cloudlet, and Mobile Edge Computing. – In: Proc. of IEEE Global Internet of Things Summit Conference (GIoTS’17), 2017. DOI: 10.1109/GIOTS.2017.8016213.
- Matrouk, K., K. Alatoun. Scheduling Algorithms in Fog Computing: A Survey. – International Journal of Networked and Distributed Computing, Vol. 9, 2021, pp. 59-74. DOI: 10.2991/ijndc.k.210111.001.
- Kumar, K. D., E. Umamaheswari. HPCWMF: A Hybrid Predictive Cloud Workload Management Framework Using Improved LSTM Neural Network. – Cybernetics and Information Technologies, Vol. 20, 2020, No 4, pp. 55-73.
- Madhumala, B. R., H. Tiwari, D. Verma. Virtual Machine Placement Using Energy-Efficient Particle Swarm Optimization in Cloud Datacenter. – Cybernetics and Information Technologies, Vol. 21, 2021, No 1, pp. 62-72.
- Satveer, M., S. Aswal. VM Consolidation Plan for Improving the Energy Efficiency of Cloud. – Cybernetics and Information Technologies, Vol. 21, 2021, No 3, pp. 145-159.
- Bonomi, F., R. Milito, P. Natarajan, J. Zhu. Fog Computing: A Platform for Internet of Things and Analytics. – Big Data and Internet of Things: A Roadmap for Smart Environments. – In: Studies in Computational Intelligence. Vol. 546. Springer, 2014, pp. 169-186. DOI: 10.1007/978-3-319-05029-4_7.
- Mohammad, S., N. Rajeswari. Overview of Cloud Computing and Its Types. – SSNR Electronic Journal, Vol. 6, 2019, pp. 61-67. http://www.jetir.org/papers/JETIRAT06008.pdf
- Alzoubi, Y. I., A. Aljaafreh. Blockchain-Fog Computing Integration Applications: A Systematic Review. – Cybernetics and Information Technologies, Vol. 23, 2023, No 1, pp. 3-37.
- Bhargavi, K., S. Babu, S. G. Shiva. Type-2-Soft-Set-Based Uncertainty Aware Task Offloading Framework for Fog Computing Using Apprenticeship Learning. – Cybernetics and Information Technologies, Vol. 23, 2023, No 1, pp. 38-58.
- Chu, H., S. Yang, P. Pillai, Y. Chen. Scheduling in Visual Fog Computing: NP-Completeness and Practical Efficient Solutions. – In: Proc. of AAAI Conference on Artificial Intelligence, Vol. 32, 2018. DOI: 10.1609/aaai.v32i1.12080.
- M. E. A Survey of Various Scheduling Algorithms in a Cloud Computing Environment. – Journal of Emerging Technologies and Innovative Research (JETIR), Vol. 2, 2013, pp. 131-135. DOI:10.15623/IJRET.2013.0202008.
- Bhutto, A., A. A. Chandio, K. K. Luhano, I. A. Korejo. Analysis of Energy and Network Cost Effectiveness of Scheduling Strategies in Datacentre. – Cybernetics and Information Technologies, Vol. 23, 2023, No 3, pp. 56-69.
- Varshney, P., Y. Simmhan. Characterizing Application Scheduling on Edge, Fog, and Cloud Computing Resources. – Software Practice and Experience Journal, Vol. 50, 2019. DOI: 10.1002/spe.2699.
- Khodadadi, F., A. Vahid, R. Buyya. Internet of Things: An Overview. 2017. DOI: 10.4550/arXiv.1703.06409.
- Slow, E., T. Tiropanis, W. Hall. Analytics for the Internet of Things: A Survey. – ACM Computing Surveys, Vol. 1, 2018, No 1. DOI: 10.1145/3204947.
- Dang, L. M., M. J. Piran, D. Han, K. Min, H. Moon. A Survey on the Internet of Things and Cloud Computing for Healthcare. – Journal of Electronics, Vol. 8, 2019. DOI: 10.3390/electronics8070768.
- Yu, W., F. Liang, X. He, W. G. Hatcher, G. Lu, J. Lin, X. Yang. A Survey on Edge Computing for the Internet of Things. – IEEE Access Journal, Vol. 6, 2018. DOI: 10.1109/ACCESS.2017.2778504.
- Barot, V., V. Kapadia, S. Pandya. QoS-Enabled IoT-Based Low-Cost Air Quality Monitoring System with Power Consumption Optimization. – Cybernetics and Information Technologies, Vol. 20, 2020, No 2, pp. 122-140.
- Sudha, K. S., N. Jeyanthi. A Review on Privacy Requirements and Application Layer Security in Internet of Things (IoT). – Cybernetics and Information Technologies, Vol. 21, 2021, No 3, pp. 50-72.
- Saritha, Sarasvathi V. Reliability Analysis of an IoT-Based Air Pollution Monitoring System Using Machine Learning Algorithm-BDBN. – Cybernetics and Information Technologies, Vol. 23, 2023, No 4, pp. 233-250.
- Tsai, C., W. Huang, M. Chiang, M. Chiang, C. Yang. A Hyper-Heuristic Scheduling Algorithm for Cloud. – IEEE Transactions on Cloud Computing, Vol. 2, 2014, pp. 236-250. DOI: 10.1109/TCC.2014.2315797.
- Reza, M., V. Khajehvand, A. Masoud, E. Akbari. A Task Scheduling Approach in Fog Computing: A Systematic Review. – International Journal of Communication Systemic, Vol. 33, 2020. DOI: 10.1002/dac.4583.
- Khan, A., A. Abbas, H. A. Khattak, F. Rehman, I. Ud Din, S. Ali. Effective Task Scheduling in Critical Fog Applications. – In: Scientific Programming. 2022. DOI: 10.1155/2022/9208066.
- Fu, X., B. Tang, F. Guo, L. Kang. Priority and Dependency-Based DAG Tasks Offloading in Fog/Edge Collaborative Environment. – In: Proc. of 24th IEEE International Conference on Computer Supported Cooperative Work in Design, Dalian, China, 2021. DOI: 10.1109/CSCWD49262.2021.9437784.
- Periasamy, P., R. Ujwala, K. Srikar, Y. V. D. Sai, K. S. Preetha, D. Sumathi, M. S. Sayeed. ERAM-EE: Efficient Resource Allocation and Management Strategies with Energy Efficiency under Fog-Internet of Things Environments. – Connection Science Journal, Vol. 36, 2024. DOI: 10.1080/09540091.2024.2350755.
- Fister, I., X. Yang, I. Fister, J. Brest, D. Fister. Brief Review of Nature-Inspired Algorithms for Optimization. – Elektrotehniski Vestnik/Electrotechnical Review Journal, Vol. 3, 2013. DOI: 10.48550/arXiv.1307.4186.
- Salem, A. H., G. Al-Gaphari. Meta-Heuristic Algorithms for Resource Allocation in Fog Computing. – International Journal for Modern Trends in Science and Technology, Vol. 8, 2022, pp. 134-143. DOI: 10.46501/IJMTST0802022.
- Xu, R., Y. Wang, Y. Cheng, Y. Zhu, Y. Xie, A. Sadiq, D. Yuan. Improved Particle Swarm Optimization-Based Workflow Scheduling in Cloud-Fog Environment. – Springer Nature Switzerland, Vol. 342, 2019, pp. 337-347. DOI: 10.1007/978-3-030-11641-5_27.
- Lin, Y., C. Cheng, F. Xiao, K. Alsubhi, H. Moaiteq. A DAG-Based Cloud-Fog Layer Architecture for Distributed Energy Management in Smart Power Grids in the Presence of PHEVs. – Journal of Sustainable Cities and Society, Vol. 75, 2021. DOI: 10.1016/j.scs.2021.103335.
- Abohamama, A. S., A. El‐Ghamry, E. Hamouda. Real‐Time Task Scheduling Algorithm for IoT‐Based Applications in the Cloud-Fog Environment. – Journal of Network and Systems Management, Vol. 30, 2022. DOI: 10.1007/s10922-022-09664-6.
- Mokni, M., S. Yassa, J. Eddine, R. Chelouah, M. Nazih. Cooperative Agents- Based Approach for Workflow Scheduling on Fog Cloud Computing. – Springer Journal of Ambient Intelligence and Humanized Computing, Vol. 13, 2021. DOI: 10.1007/s12652-021-03187-9.
- Jangu, N., Z. Raza. Improved Jellyfish Algorithm-Based Multi-Aspect Task Scheduling Model for IoT Tasks over Fog-Integrated Cloud Environment. – Journal of Cloud Computing: Advances, Systems and Applications, Vol. 11, 2022. DOI: 10.1186/s13677-022-00376-5.
- Kumar, M. S., G. R. Karri. EEOA: Cost and Energy Efficient Task Scheduling in a Cloud-Fog Framework. – Journal of Sensors, Vol. 23, 2023. DOI: 10.3390/s23052445.
- Ameena, B., L. Ramasamy. Drawer Cosine Optimization Enabled Task Offloading in Fog Computing. – Expert Systems with Applications Journal, Vol. 259, 2025. DOI: 10.1016/j.eswa.2024.125212.
- Wang, J., D. Li. Task Scheduling Based on a Hybrid Heuristic Algorithm for Smart Production Line with Fog Computing. – Journal of Sensors, Vol. 19, 2019. DOI: 10.3390/s19051023.
- Kabirzadeh, S., D. Rahbari, M. Nickray. A Hyper-Heuristic Algorithm for Scheduling of Fog Networks. – In: Proc. of IEEE Open Innovations Association FRUCT Conference, Vol. 562, Finland, 2017, pp. 148-155. DOI: 10.23919/FRUCT.2017.8250177.
- Krivic, P., M. Kusek, I. Cavrak, P. Skoc. Dynamic Scheduling of Contextually Categorized Internet of Things Services in a Fog Computing Environment. – Journal of Sensors, Vol. 22, 2022. DOI: 10.3390/s22020465.
- Mohammad, A., R. Mahmoud, N. Jamal, A. Al Smadi, M. Alshabanah, D. Alrajhi, H. Alkhaldi, M. K. Alsmadi. Fog Computing Scheduling Algorithm for a Smart City. – International Journal of Electrical and Computer Engineering (IJECE), Vol. 11, 2021, pp. 2219-2228. DOI: 10.11591/ijece.v11i3.pp2219-2228.
- Yu, J., R. Buyya, K. Ramamohanarao. Workflow Scheduling Algorithms for Grid Computing, Metaheuristics for Scheduling in Distributed Computing Environments. – Springer, Vol. 146, 2008, pp. 173-214. DOI: 10.1007/978-3-540-69277-5_7.
- Wu, X., M. Deng, R. Zhang, B. Zeng, S. Zhou. A Task Scheduling Algorithm Based on QOS-Driven in Cloud Computing. – In: Proc. of International Conference on Information Technology and Quantitative Management, China, Vol. 17, 2013, pp. 1162-1169. DOI: 10.1016/j.procs.2013.05.148.
- Pham, X., N. Doan, N. Dao, N. Quang, E. Huh. A Cost and Performance-Effective Approach for Task Scheduling Based on Collaboration between Cloud and Fog Computing. – International Journal of Distributed Sensor Networks, Vol. 13, 2017. DOI: 10.1177/1550147717742073.
- Madhura, R., L. Elizabeth, R. Uthariaraj. An Improved List-Based Task Scheduling Algorithm for a Fog Computing Environment. – Computing Journal, Vol. 103, 2021. DOI: 10.1007/s00607-021-00935-9.
- Tariq, R., F. Aadil, M. F. Malik, S. Ejaz, M. U. Khan, M. F. Khan. Directed Acyclic Graph-Based Task Scheduling Algorithm for Heterogeneous Systems. – In: Proc. of Intelligent Systems Conference, London, Vol. 2, 2019, pp. 936-947. DOI: 10.1007/978-3-030-01057-7_69.
- Goel, H., N. Chamoli. Job Scheduling Algorithms in Cloud Computing: A Survey. – International Journal of Computer Applications, Vol. 95, 2014, No 23, pp.19-22. DOI: 10.5120/16735-6981.
- Vijaya, C., P. Srinivasan. A Hybrid Technique for Server Consolidation in Cloud Computing Environment. – Cybernetics and Information Technologies, Vol. 20, 2020, No 1, pp. 36-52.
- Sakellariou, R., H. Zhao. A Hybrid Heuristic for DAG Scheduling on Heterogeneous Systems. – In: Proc. of IEEE International Parallel and Distributed Processing Symposium Conference, USA, 2004. DOI: 10.1109/IPDPS.2004.1303065.
- Ahmad, W., B. Alam, S. Malik. Performance Analysis of List Scheduling Algorithms by Random Synthetic DAGs. – SSRN Electronic Journal, 2019. DOI: 10.2139/ssrn.3349016.
- Zhao, H., R. Sakellariou. An Experimental Investigation into the Rank Function of the Heterogeneous Earliest Finish Time Scheduling Algorithm. – In: Proc. of Conference of Parallel Processing. Vol. 2790. Springer, 2003, pp. 189-194. DOI: 10.1007/978-3-540-45209-6_28.
- Ali, H. G. E. H., I. A. Saroit, A. M. Kotb. Grouped Tasks Scheduling Algorithm Based on QoS in Cloud Computing Network. – Egyptian Informatics Journal, Vol. 18, 2016. DOI: 10.1016/j.eij.2016.07.002.
