1.
Michael Armbrust, Armando Fox, Rean Griffith, Anthony D Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patter-son, Ariel Rabkin, Ion Stoica, et al. A view of cloud computing. Communications of the ACM, 53(4):50–58, 2010.
2.
Sean Marston, Zhi Li, Subhajyoti Bandyopadhyay, Juheng Zhang, and Anand Ghalsasi. Cloud computing—the business perspective. Decision support systems, 51(1):176–189, 2011.
3.
Dirk Merkel et al. Docker: lightweight linux containers for con-sistent development and deployment. Linux journal, 2014(239):2, 2014.
4.
Ann Mary Joy. Performance comparison between linux containers and virtual machines. In 2015 International Conference on Advances in Computer Engineering and Applications, pages 342–346. IEEE, 2015.
5.
Ying Mao, Yuqi Fu, Suwen Gu, Sudip Vhaduri, Long Cheng, and Qingzhi Liu. Resource management schemes for cloud-native platforms with computing containers of docker and kubernetes. arXiv preprint arXiv:2010.10350, 2020.
6.
Gursharan Singh, and Parminder Singh. "A Taxonomy and Survey on Container Migration Techniques in Cloud Computing." In Sustainable Development Through Engineering Innovations, pp. 419-429. Springer, Singapore, 2021.
7.
Keerthana Govindaraj and Alexander Artemenko. Container live migration for latency critical industrial applications on edge computing. In 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), volume 1, pages 83–90. IEEE, 2018.
8.
Gursharan Singh, Parminder Singh, Mustapha Hedabou, Mehedi Masud, and Sultan S. Alshamrani. "A Predictive Checkpoint Technique for Iterative Phase of Container Migration." Sustainability 14, no. 11: 6538, 2022.
9.
Alessandro Ferreira Leite, Azzedine Boukerche, Alba Cristina Magalhaes Alves de Melo, Christine Eisenbeis, Claude Tadonki, and Célia Ghedini Ralha. Power-aware server consolidation for federated clouds. Concurrency and Computation: Practice and Expe-rience, 28(12):3427–3444, 2016.
10.
Radostin Stoyanov and Martin J Kollingbaum. Efficient live migration of linux containers. In International Conference on High Performance Computing, pages 184–193. Springer, 2018.
11.
Carlo Puliafito, Carlo Vallati, Enzo Mingozzi, Giovanni Merlino, Francesco Longo, and Antonio Puliafito. Container migration in the fog: A performance evaluation. Sensors, 19(7):1488, 2019.
12.
TianZhang He, Adel N Toosi, and Rajkumar Buyya. Performance evaluation of live virtual machine migration in sdn-enabled cloud data centers. Journal of Parallel and Distributed Computing, 131:55– 68, 2019.
13.
Pekka Karhula, Jan Janak, and Henning Schulzrinne. Checkpoint-ing and migration of iot edge functions. In Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking, pages 60–65, 2019.
14.
Jiaxin Feng, Jiawei Zhang, Yuming Xiao, and Yuefeng Ji. Demon-stration of containerized vdu/vcu migration in wdm metro optical networks. In 2020 Optical Fiber Communications Conference and Exhibition (OFC), pages 1–3. IEEE, 2020.
15.
Janaina Schwarzrock, Michael Guilherme Jordan, Guilherme Ko-rol, Charles C de Oliveira, Arthur F Lorenzon, Mateus Beck Rutzig, and Antonio Carlos S Beck. Dynamic concurrency throt-tling on numa systems and data migration impacts. Design Automation for Embedded Systems, 25(2):135–160, 2021.
16.
Ranjan Sarpangala Venkatesh, Till Smejkal, Dejan S Milojicic, and Ada Gavrilovska. Fast in-memory criu for docker containers. In Proceedings of the International Symposium on Memory Systems, pages 53–65, 2019.
17.
Alejandro E González and Emmanuel Arzuaga. Herdmonitor: Monitoring live migrating containers in cloud environments. In 2020 IEEE International Conference on Big Data (Big Data), pages 2180–2189. IEEE, 2020.
18.
Florian Hofer, Martin Sehr, Alberto Sangiovanni-Vincentelli, and Barbara Russo. Industrial control via application containers: Maintaining determinism in iaas. Systems Engineering, 24(5):352– 368, 2021.
19.
Hai Jin, Bo Liu, Wenbin Jiang, Yang Ma, Xuanhua Shi, Bingsheng He, and Shaofeng Zhao. Layer-centric memory reuse and data migration for extreme-scale deep learning on many-core archi-tectures. ACM Transactions on Architecture and Code Optimization (TACO), 15(3):1–26, 2018.
20.
Evangelos Vasilakis, Vassilis Papaefstathiou, Pedro Trancoso, and Ioannis Sourdis. Llc-guided data migration in hybrid memory sys-tems. In 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pages 932–942. IEEE, 2019.
21.
Moussa, Walid, Mona Nashaat, Walaa Saber, and Rawya Rizk. "Comprehensive Study on Machine Learning-Based Container Scheduling in Cloud." In International Conference on Advanced Machine Learning Technologies and Applications, pp. 581-592. Springer, Cham, 2022.
22.
Gundall, Michael, Julius Stegmann, Mike Reichardt, and Hans D. Schotten. "Downtime Optimized Live Migration of Industrial Real-Time Control Services." arXiv preprint arXiv:2203.12935 (2022).
23.
Terneborg, Martin. "Enabling container failover by extending current container migration techniques." (2021).
24.
Terneborg, Martin, Johan Karlsson Rönnberg, and Olov Schelén. "Application Agnostic Container Migration and Failover." In 2021 IEEE 46th Conference on Local Computer Networks (LCN), pp. 565-572. IEEE, 2021.
25.
Zhi, Zhang, Zhao Zhuofeng, and Li Han. "Static layout and dynamic migration method of a large-scale container." In 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), vol. 5, pp. 1897-1901. IEEE, 2021.
26.
Zheng, Siyuan, Fenfen Huang, Chen Li, and Haobin Wang. "A Cloud Resource Prediction and Migration Method for Container Scheduling." In 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), pp. 76-80. IEEE, 2021.
27.
Yang, Run, Hui He, and Weizhe Zhang. "Multitier Service Migration Framework Based on Mobility Prediction in Mobile Edge Computing." Wireless Communications and Mobile Computing 2021 (2021).
28.
Chen, Lei, and Weiwen Zhang. "A deep learning-based approach with PSO for workload prediction of containers in the cloud." In 2021 13th International Conference on Advanced Infocomm Technology (ICAIT), pp. 204-208. IEEE, 2021.
29.
Dai Vu, Dinh, Xuan Tuong Vu, and Younghan Kim. "Deep Learning-based fault prediction in cloud system." In 2021 International Conference on Information and Communication Technology Convergence (ICTC), pp. 1826-1829. IEEE, 2021.
30.
Aditya Bhardwaj and C Rama Krishna. A container-based technique to improve virtual machine migration in cloud computing. IETE Journal of Research, pages 1–16, 2019.