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Original Article
Adaptive Allocation of AI/ML Tasks in Cloud–Edge Computing
Dr.Gurala Jagadish1
Bathini Sai Pavan2
Vadapalli Dharaneeswar3
Kolapalli Dhanvitha Amulya Sree4
Shaik Mohammed Maahir5
1 2 3 4 5 Department of Computer science and Engineering, KL University, Andhra Pradesh, India.
Published Online: March-April 2026
Pages: 177-185
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260702023
References
1. Armani, Valentino, et al. "A cost-effective workload allocation strategy for Cloud-Native Edge Services." arXiv preprint arXiv:
2110.12788 (2021).
2. Xiao, Xuan, et al. "Novel workload-aware approach to mobile user reallocation in crowded mobile edge computing environment." IEEE
Transactions on Intelligent Transportation Systems 23.7 (2022): 8846-8856.
3. Li, Chunlin, et al. "Cost-aware automatic scaling and workload-aware replica management for edge-cloud environment." Journal of
Network and Computer Applications 180 (2021): 103017.
4. Nezami, Zeinab, et al. "Decentralized edge-to-cloud load balancing: Service placement for the Internet of Things." IEEE Access 9 (2021):
64983-65000.
5. Hao, Tianshu, et al. "AI-oriented workload allocation for cloud-edge computing." 2021 IEEE/ACM 21st International Symposium on
Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2021.
6. Wang, Wei, et al. "Infrastructure-efficient virtual-machine placement and workload assignment in cooperative edge-cloud computing
over backhaul networks." IEEE Transactions on Cloud Computing 11.1 (2021): 653-665.
7. Bulej, Lubomír, et al. "Managing latency in edge–cloud environment." Journal of systems and software 172 (2021): 110872.
8. Razaq, Mian Muaz, et al. "Privacy-aware collaborative task offloading in fog computing." IEEE Transactions on Computational Social
Systems 9.1 (2021): 88-96.
9. Pinto, George P., et al. "A systematic review on privacy-aware iot personal data stores." Sensors 24.7 (2024): 2197.
10. Lee, Hyunsoo, and Uichin Lee. "Toward dynamic consent for privacy-aware pervasive health and well-being: A scoping review and
research directions." IEEE Pervasive Computing 21.4 (2022): 25-32.
11. Tedeschi, Pietro, et al. "Privacy-aware remote identification for unmanned aerial vehicles: current solutions, potential threats, and future
directions." IEEE Transactions on Industrial Informatics 20.2 (2023): 1069-1080.
12. Sun, Jianfei, et al. "An efficient privacy-aware split learning framework for satellite communications." IEEE Journal on Selected Areas
in Communications (2024).
13. Kamal, Maryam, et al. "Privacy-aware genetic algorithm based data security framework for distributed cloud storage." Microprocessors
and Microsystems 94 (2022): 104673.
14. Priyadarshini, Sabina, et al. "Enhancing security and scalability by AI/ML workload optimization in the cloud." Cluster Computing 27.10
(2024): 13455-13469.
15. Folorunso, Adebola, et al. "A governance framework model for cloud computing: role of AI, security, compliance, and management."
(2024).
16. Ajmal, C. S., et al. "Innovative Approaches in Regulatory Affairs: Leveraging Artificial Intelligence and Machine Learning for Efficient
Compliance and Decision-Making." The AAPS Journal 27.1 (2025): 22.
17. GUDE, Seetharam, and Yamini Satyasri GUDE. "The synergy of artificial intelligence and machine learning in revolutionizing
pharmaceutical regulatory affairs." Translational and Regulatory Sciences 6.2 (2024): 37-45.
18. Islam, Md Mafiqul. "Dynamic Resource Allocation for AI/ML Applications in Edge Computing: Framework Architecture and
Optimization Methods." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 220-234.
19. Mullankandy, Sreeram. "Transforming Data into Compliance: Harnessing AI/ML to Enhance Regulatory Reporting Processes." Journal
of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 62-73.
20. Gadani, Naimil Navnit, and Pronaya Bhattacharya. "Ethical Considerations in AI Development for Cloud Computing and Data-Driven
Software Solutions." Ethical Dimensions of AI Development. IGI Global, 2025. 23-58.
21. Hanna, Matthew G., et al. "Future of Artificial Intelligence (AI)-Machine Learning (ML) Trends in Pathology and Medicine." Modern
Pathology (2025): 100705.
22. Singh, Bhupinder, and Christian Kaunert. "Intelligent Machine Learning Solutions for Cybersecurity: Legal and Ethical Considerations
in a Global Context." Advancements in Intelligent Process Automation. IGI Global, 2025. 359-386.
23. Chauhan, Chhavi. "Ethical aspects of using artificial intelligence in digital and computational pathology." Digital Pathology. Academic
Press, 2025. 267-275.
24. Vashishth, Tarun Kumar, et al. "Ethical and Legal Implications of AI in Cybersecurity." Machine Intelligence Applications in Cyber-
Risk Management. IGI Global Scientific Publishing, 2025. 387-414.
2110.12788 (2021).
2. Xiao, Xuan, et al. "Novel workload-aware approach to mobile user reallocation in crowded mobile edge computing environment." IEEE
Transactions on Intelligent Transportation Systems 23.7 (2022): 8846-8856.
3. Li, Chunlin, et al. "Cost-aware automatic scaling and workload-aware replica management for edge-cloud environment." Journal of
Network and Computer Applications 180 (2021): 103017.
4. Nezami, Zeinab, et al. "Decentralized edge-to-cloud load balancing: Service placement for the Internet of Things." IEEE Access 9 (2021):
64983-65000.
5. Hao, Tianshu, et al. "AI-oriented workload allocation for cloud-edge computing." 2021 IEEE/ACM 21st International Symposium on
Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2021.
6. Wang, Wei, et al. "Infrastructure-efficient virtual-machine placement and workload assignment in cooperative edge-cloud computing
over backhaul networks." IEEE Transactions on Cloud Computing 11.1 (2021): 653-665.
7. Bulej, Lubomír, et al. "Managing latency in edge–cloud environment." Journal of systems and software 172 (2021): 110872.
8. Razaq, Mian Muaz, et al. "Privacy-aware collaborative task offloading in fog computing." IEEE Transactions on Computational Social
Systems 9.1 (2021): 88-96.
9. Pinto, George P., et al. "A systematic review on privacy-aware iot personal data stores." Sensors 24.7 (2024): 2197.
10. Lee, Hyunsoo, and Uichin Lee. "Toward dynamic consent for privacy-aware pervasive health and well-being: A scoping review and
research directions." IEEE Pervasive Computing 21.4 (2022): 25-32.
11. Tedeschi, Pietro, et al. "Privacy-aware remote identification for unmanned aerial vehicles: current solutions, potential threats, and future
directions." IEEE Transactions on Industrial Informatics 20.2 (2023): 1069-1080.
12. Sun, Jianfei, et al. "An efficient privacy-aware split learning framework for satellite communications." IEEE Journal on Selected Areas
in Communications (2024).
13. Kamal, Maryam, et al. "Privacy-aware genetic algorithm based data security framework for distributed cloud storage." Microprocessors
and Microsystems 94 (2022): 104673.
14. Priyadarshini, Sabina, et al. "Enhancing security and scalability by AI/ML workload optimization in the cloud." Cluster Computing 27.10
(2024): 13455-13469.
15. Folorunso, Adebola, et al. "A governance framework model for cloud computing: role of AI, security, compliance, and management."
(2024).
16. Ajmal, C. S., et al. "Innovative Approaches in Regulatory Affairs: Leveraging Artificial Intelligence and Machine Learning for Efficient
Compliance and Decision-Making." The AAPS Journal 27.1 (2025): 22.
17. GUDE, Seetharam, and Yamini Satyasri GUDE. "The synergy of artificial intelligence and machine learning in revolutionizing
pharmaceutical regulatory affairs." Translational and Regulatory Sciences 6.2 (2024): 37-45.
18. Islam, Md Mafiqul. "Dynamic Resource Allocation for AI/ML Applications in Edge Computing: Framework Architecture and
Optimization Methods." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 220-234.
19. Mullankandy, Sreeram. "Transforming Data into Compliance: Harnessing AI/ML to Enhance Regulatory Reporting Processes." Journal
of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 62-73.
20. Gadani, Naimil Navnit, and Pronaya Bhattacharya. "Ethical Considerations in AI Development for Cloud Computing and Data-Driven
Software Solutions." Ethical Dimensions of AI Development. IGI Global, 2025. 23-58.
21. Hanna, Matthew G., et al. "Future of Artificial Intelligence (AI)-Machine Learning (ML) Trends in Pathology and Medicine." Modern
Pathology (2025): 100705.
22. Singh, Bhupinder, and Christian Kaunert. "Intelligent Machine Learning Solutions for Cybersecurity: Legal and Ethical Considerations
in a Global Context." Advancements in Intelligent Process Automation. IGI Global, 2025. 359-386.
23. Chauhan, Chhavi. "Ethical aspects of using artificial intelligence in digital and computational pathology." Digital Pathology. Academic
Press, 2025. 267-275.
24. Vashishth, Tarun Kumar, et al. "Ethical and Legal Implications of AI in Cybersecurity." Machine Intelligence Applications in Cyber-
Risk Management. IGI Global Scientific Publishing, 2025. 387-414.
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