International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Dhuha Basheer Abdullah, Wael Hadeed*

Department of computer science, University of Mosul, Hay Althaqafa, Mosul, Iraq


Download Citation: |
Download PDF


A new trend of advanced applications with high demands has emerged in recent years. Though cloud computing provides ripe management services with ubiquitous abilities, new needs and workloads decreed by new services tend to unmask their deficiencies. Edge computing is a new type of computing that brings cloud services closer to customers. In addition to that, edge computing reduces client/server latency significantly. The services must work on edge nodes that are physical as near to their customers as reasonable to achieve slight latencies. As a result, when a client relocates, a service should migrate across edge nodes to preserve proximity. Besides, migration of containers between edge nodes allows for many emerging use cases, reduces back-to-the-cloud, and optimizes resource management (for example, e-learning systems). In this paper, an algorithm for managing container execution has been proposed. A set of constraints are considered when migrating containers between nodes, such as resource availability, deadline time, and nodes location. When an event occurs, the container must be migrated from one node to another closest/best possible node is searched. The container live migration is used to get the best possible response time, reduce server return, and better manage resources.

Keywords: Edge computing, Container, Docker, Optimal decision, Live migration.

Share this article with your colleagues



  1. Benomar, Z., Longo, F., Merlino, G., Puliafito, A. 2020. Cloud-based enabling mechanisms for container deployment and migration at the network edge. ACM Transactions on Internet Technology, 20.

  2. Dhumal, A., Janakiram, D. 2020. C-balancer: a system for container profiling and scheduling. 1–10.

  3. Gery, S.W. 1997. Direct fix of latitude and longitude from two observed altitudes. Navigation, Journal of the Institute of Navigation, 44, 15–24.

  4. Govindaraj, K., Artemenko, A. 2018. Container live migration for latency critical industrial applications on edge computing. IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2018-Septe(iii), 83–90.

  5. H., N.S., Kumar, K.R.A., Shenoy, S.N., Rao, A.S., 2020. Data security in cloud environment based on comparative performance evaluation of cryptographic algorithms. International Journal of Advanced Trends in Computer Science and Engineering, 9, 4989–4997.

  6. Hadeed, W.W., Abdullah, D.B. 2021. Real-time based big data and e-learning: a survey and open research issues. AL-Rafidain Journal of Computer Sciences and Mathematics, 15, 225–243.

  7. Havanje, N.S., Kumar, K.R.A., Shenoy, S.N., Rao, A.S., Thimmappayya, R.K. 2022. Secure and reliable data access control mechanism in multi-cloud environment with inter-server communication security. Suranaree Journal of Science & Technology, 29.

  8. Kaur, H., Kaur, K. 2020. Live Migration of stateful processes across edge servers. International Journal of Recent Technology and Engineering, 8, 5207–5211.

  9. Ketu, S., Mishra, P.K. 2021. Cloud, fog and mist computing in iot: an indication of emerging opportunities. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), 0, 1–12.

  10. Kim, T., Al-Tarazi, M., Lin, J.W., Choi, W. 2021. Optimal container migration for mobile edge computing: algorithm, system design and implementation. IEEE Access, 9, 158074–158090.

  11. Kotikalapudi, S.V.N. 2017. Comparing live migration between linux containers and kernel virtual machine : investigation study in terms of parameters. February, 42.

  12. Ma, L., Yi, S., Li, Q. 2017. Efficient service handoff across edge servers via docker container migration. 2017 2nd ACM/IEEE Symposium on Edge Computing, SEC 2017.

  13. Maheshwari, S., Choudhury, S., Seskar, I., Raychaudhuri, D. 2018. Traffic-Aware Dynamic Container Migration for Real-Time Support in Mobile Edge Clouds. International Symposium on Advanced Networks and Telecommunication Systems, ANTS, 2018-(December).

  14. Nagesh Shenoy H, K.R. Anil Kumar, Rajgopal K.T., Abhishek S. Rao. 2020. An Audit on cloud architectures addressing data privacy and security concerns. International Journal of Advanced Science and Technology, 29, 6373–6382. Retrieved from

  15. Ngo, M.V., Luo, T., Hoang, H.T., Tony Quek, Q.S. 2020. Coordinated container migration and base station handover in mobile edge computing. 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings.

  16. Puliafito, C., Vallati, C., Mingozzi, E., Merlino, G., Longo, F., Puliafito, A. 2019. Container migration in the fog: A performance evaluation. Sensors (Switzerland), 19, 1–22.

  17. Salaht, F.A., Desprez, F., Lebre, A. 2020. An overview of service placement problem in fog and edge computing. ACM Computing Surveys, 53.

  18. Smimite, O., Afdel, K. 2020. Containers placement and migration on cloud system. International Journal of Computer Applications, 176, 9–18.

  19. Vasconcelos, D.R., Andrade, R.M.C., Severino, V., De Souza, J.N. 2019. Cloud, Fog, or Mist in IoT? That is the qestion. ACM Transactions on Internet Technology, 19.

  20. Wang, S., Xu, J., Zhang, N., Liu, Y. 2018. A survey on service migration in mobile edge computing. IEEE Access, 6, 23511–23528.


Received: 2022-06-15
Revised: 2022-07-27
Accepted: 2022-08-17
Available Online: 2022-09-05

Cite this article:

Abdullah,D.B., Hadeed, W. Container live migration in edge computing: a real-time performance amelioration. International Journal of Applied Science and Engineering, 19, 2022121





  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

We use cookies on this website to improve your user experience. By using this site you agree to its use of cookies.