A NEW FRAMEWORK FOR DEPLOYING VIRTUAL DESKTOP INFRASTRUCTURE USING CONTAINERIZATION APPROACH
DOI:
https://doi.org/10.24191/mjoc.v9i2.25672Keywords:
Cloud Computing, Online Learning and Framework, Virtual Desktop Infrastructure(VDI), Virtual Machines ContainerizationAbstract
The COVID-19 pandemic accelerated the shift to virtual learning, pushing educational institutions to adopt innovative solutions like Virtual Desktop Infrastructure (VDI). However, traditional VDI faces performance issues due to resource limitations. This research aims to enhance VDI performance and scalability by proposing a new framework based on containerization to address performance degradation issues such as unutilized CPU and memory usage in VDI. Four key performance metrics—CPU performance, memory performance, boot time, and latency—were evaluated. This research employed a qualitative method involving five phases: problem identification, planning, design and development, testing, and result analysis. The results show that the proposed containerization framework offers superior performance, with the proposed container standing out as the most efficient platform. For instance, the average boot time is merely 10 seconds compared to Windows' 39 seconds. Regarding RAM usage, the proposed container uses 7%, compared to 27% for Windows and 33% for Linux. This research highlights the potential of the proposed framework to revolutionize virtual learning by optimizing resource utilization, enabling educational institutions to support larger student populations with high-performance standards. It contributes to the ongoing efforts to optimize IT infrastructure for virtual learning, addressing key performance challenges.
References
Affouneh, S., Khlaif, Z. N., Burgos, D., & Salha, S. (2021). Virtualization of higher education during COVID-19: A successful case study in Palestine. Sustainability, 13(12), 6583.
Affouneh, S., Salha, S., & Khlaif, Z. N. (2020). Designing quality e-learning environments for emergency remote teaching in coronavirus crisis. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 11(2), 135-137.
Ahmadi, M. R. (2013). Performance Evaluation of Virtualization Techniques for Control and Access of Storage Systems in Data Center Applications. Journal of Electrical Engineering, Vol. 64, No. 5, 2013, pp. 272–282
Ahmed, H. et. al. (2023), Exploring Performance Degradation in Virtual Machines Sharing a Cloud Server. Journal Applied Sciences, Vol. 13, No. 9224
Ameen, A.O, Alarape, M.A & Adewole, K.S (2019), Students’ Academic Performance And Dropout Predictions: A Review. Malaysian Journal of Computing (MJOC), Vol. 4(2), pp. 278-303.
Auliya, S. et. al, (2024), Analysis and Prediction of Virtual Machine Boot Time On Virtualized Computing Environments. Journal of Cloud Computing, Vol. 13, No.80
Bahrami, M., Farahbakhsh, M., Haghighat, A. T., & Gholipour, M. (2021). Virtualization and live migration: issues and solutions. J. Comput. Based Parallel Program, 6, 10-15.
Brown, J., Folk, K., & Swerdlow, J. (2021). The Virtualization of Schooling During the COVID-19 Pandemic. Proceedings of the New York State Communication Association, 2020(1), 5.
Brusakova, I. A. (2021, May). Measurement Virtualization Technologies for Intelligent Information and Measurement Systems. In 2021 XXIV International Conference on Soft Computing and Measurements (SCM) (pp. 197-199). IEEE
Casini, D., Biondi, A., Cicero, G., & Buttazzo, G. (2021, May). Latency analysis of I/O virtualization techniques in hypervisor-based real-time systems. In 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS) (pp. 306-319). IEEE.
Chen, T., & Liu, H. (2021, May). Research and Practice of Online and Offline Hybrid Teaching of Virtualization Technology Course in Higher Vocational Colleges. In 6th International Conference on Education Reform and Modern Management (ERMM 2021) (pp. 80-83). Atlantis Press.
Dikaiakos, M. D., Katsaros, D., Mehra, P., Pallis, G., & Vakali, A. (2009). Cloud computing: Distributed internet computing for IT and scientific research. IEEE Internet computing, 13(5), 10-13.
Dong, H., Kinfe, A. T., Yu, J., Liu, Q., Kilper, D., Williams, R. D., & Veeraraghavan, M. (2021). Towards Enabling Residential Virtual-Desktop Computing. IEEE Transactions on Cloud Computing.
Gao, Z. (2021, September). Research on Cloud Computing Data Center Management and Resource Virtualization Technology. In 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 2067-2070).
Goel, G., Tanwar, P., Bansal, V., & Sharma, S. (2021, June). The challenges and issues with virtualization in cloud computing. In 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1334-1338). IEEE.
Korikawa, T., & Oki, E. (2022). Memory Network Architecture for Packet Processing in Functions Virtualization. IEEE Transactions on Network and Service Management.
Kumar, R., Yadav, A. K., & Verma, H. N. (2021). An Analysis of Approaches for Desktop Virtualization and Challenges., pp. 104 -109, IEEE.
Kuo, H. C., Chen, J., Mohan, S., & Xu, T. (2020). Set the configuration for the heart of the os: On the practicality of operating system kernel debloating. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 4(1), 1-27.
Azzedin, F. Shawahna, A., Sajjad, F. & Abdulrahman, A.S, (2016). Performance Evaluation of VDI Environment. In Proceeding the Sixth International Conference on Innovative Computing Technology (INTECH 2016),
Rashid, A., & Chaturvedi, A. (2019). Cloud computing characteristics and services: a brief review. International Journal of Computer Sciences and Engineering, 7(2), 421-426.
Rodríguez Lera, F. J., Fernández González, D., Martín Rico, F., Guerrero-Higueras, Á. M., & Conde, M. Á. (2021). Measuring Students Acceptance and Usability of a Cloud Virtual Desktop Solution for a Programming Course. Applied Sciences, 11(15), 7157.
Srivastava, P., & Khan, R. (2018). A review paper on cloud computing. International Journal of Advanced Research in Computer Science and Software Engineering, 8(6), 17-20.
Surya, P., Pachauri, P., Pachauri, A., Chaturvedi, P., Yadav, S. A., & Singh, D. (2021, November). Virtualization Risks and associated Issues in Cloud Environment. In 2021 International Conference on Technological Advancements and Innovations (ICTAI) (pp. 521-525). IEEE.
Wan, F., Chang, N., & Zhou, J. (2020, September). Design Ideas of Mobile Internet Desktop System Based on Virtualization Technology in Cloud Computing. International Conference on Advance in Ambient Computing and Intelligence (ICAACI) 2020, (pp. 193-196). IEEE.
Wazan, A. S., Kuhail, M. A., Hayawi, K., & Venant, R. (2021, April). Which Virtualization Technology is Right for My Online IT Educational Labs?. In 2021 IEEE Global Engineering Education Conference (EDUCON) (pp. 1254-1261). IEEE.
Xiong, N., Zhou, S., Wu, Z., & Zhang, Z. (2021). Design and Research of Hybrid Cloud Desktop Scheme in Colleges and Universities. In MATEC Web of Conferences (Vol. 336, p. 05004). EDP Sciences.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Nukman Samsuddin, Mohamad Yusof Darus, Muhammad Azizi Mohd Ariffin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
