Research Article

An application of heuristic algorithms on multi-access edge computing

Volume: 67 Number: 2 December 24, 2025

An application of heuristic algorithms on multi-access edge computing

Abstract

Cloud Computing Multi-Access Edge Computing (MEC) is designed to solve delay problem of Cloud Computing (CC). By locating servers' computation power near to the end users, MEC aims to reduce overall computation period. In a sense MEC servers act as a proxy servers for huge data centers of CC. In MEC main aspect is computation offloading which means sending of the tasks to MEC servers. Under normal circumstances such big tasks cannot be executed at local devices due to their limited resources. First CC then MEC address that problem by offloading the tasks to data centers and MEC servers. Although enabling huge task can be processed with this method new problem is risen. Since end users’ devices also have decent computation power optimizing offloading process become a challenge for researchers. In this study, we work on computer offloading optimization by applying Heuristic Algorithms.

Keywords

References

  1. Ashton K. That “internet of things” thing: In the real world things matter more than ideas. RFID Journal, 2009.
  2. Rodrigues T. K, Suto K, Nishiyama H, Liu J, and Kato N. Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective. IEEE Communications Surveys & Tutorials, 22(1):38–67, 2020. https://doi.org/10.1109/COMST.2019.2943405
  3. Ismail A. A., Khalifa N. E., El-Khoribi R., “A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study,” Cluster Computing, Jan 21, 2025. https://doi.org/10.1007/s10586-024-04893-7
  4. Sarah A., Nencioni G., “Resource Allocation in Multi-access Edge Computing for 5G-and-beyond networks,” Computer Networks, vol. 227, May 2023, 109720. https://doi.org/10.1016/j.comnet.2023.109720
  5. ACM Computing Surveys, “A Survey on UAV-Enabled Edge Computing: Resource Management Perspective,” vol. 56(3), Mar 2024. https://doi.org/10.1145/3626566
  6. Liang N. B., et al., “On the Edge of the Deployment: A Survey on Multi-access Edge Computing,” ACM Computing Surveys, Dec 2022 / May 2023. https://doi.org/10.1145/3529758
  7. G. Sun, M. Yuan, Z. Sun, J. Wang, H. Du, D. Niyato, Z. Han, and D. I. Kim, “Online Collaborative Resource Allocation and Task Offloading for Multi-access Edge Computing,” IEEE Transactions on Mobile Computing, early access, 2025. https://doi.org/10.1109/TMC.2025.3580365
  8. Wu Z., Jia Z., Pang X., Zhao S., “Deep Reinforcement Learning-Based Task Offloading and Load Balancing for Vehicular Edge Computing,” Electronics (MDPI), vol. 13(8), 2024. https://doi.org/10.3390/electronics13081511

Details

Primary Language

English

Subjects

Cloud Computing , Cyberphysical Systems and Internet of Things

Journal Section

Research Article

Early Pub Date

December 16, 2025

Publication Date

December 24, 2025

Submission Date

April 4, 2025

Acceptance Date

July 22, 2025

Published in Issue

Year 1970 Volume: 67 Number: 2

APA
Çoban, H. F., & Güzel, M. S. (2025). An application of heuristic algorithms on multi-access edge computing. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 67(2), 125-134. https://doi.org/10.33769/aupse.1670082
AMA
1.Çoban HF, Güzel MS. An application of heuristic algorithms on multi-access edge computing. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2025;67(2):125-134. doi:10.33769/aupse.1670082
Chicago
Çoban, Hasan Faruk, and Mehmet Serdar Güzel. 2025. “An Application of Heuristic Algorithms on Multi-Access Edge Computing”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 67 (2): 125-34. https://doi.org/10.33769/aupse.1670082.
EndNote
Çoban HF, Güzel MS (December 1, 2025) An application of heuristic algorithms on multi-access edge computing. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 67 2 125–134.
IEEE
[1]H. F. Çoban and M. S. Güzel, “An application of heuristic algorithms on multi-access edge computing”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., vol. 67, no. 2, pp. 125–134, Dec. 2025, doi: 10.33769/aupse.1670082.
ISNAD
Çoban, Hasan Faruk - Güzel, Mehmet Serdar. “An Application of Heuristic Algorithms on Multi-Access Edge Computing”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 67/2 (December 1, 2025): 125-134. https://doi.org/10.33769/aupse.1670082.
JAMA
1.Çoban HF, Güzel MS. An application of heuristic algorithms on multi-access edge computing. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2025;67:125–134.
MLA
Çoban, Hasan Faruk, and Mehmet Serdar Güzel. “An Application of Heuristic Algorithms on Multi-Access Edge Computing”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 67, no. 2, Dec. 2025, pp. 125-34, doi:10.33769/aupse.1670082.
Vancouver
1.Hasan Faruk Çoban, Mehmet Serdar Güzel. An application of heuristic algorithms on multi-access edge computing. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2025 Dec. 1;67(2):125-34. doi:10.33769/aupse.1670082

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License