Energy efficient cloud computing using secure virtual machine migration: A taxonomy
Chitra Sharmachitra24sharma@gmail.comManipal University Jaipur Jaipur Rajasthan IndiaView full profile → , Ashish Kumarkumar.ashish@jaipur.manipal.eduManipal University Jaipur Jaipur Rajasthan IndiaDepartment of Computer Science and Engineering Manipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , *Pradeep Kumar TiwariCorresponding authorPradeeptiwari.mca@gmail.comBirla Global University Bhubaneswar Odisha 751029 IndiaDepartment of Computer Science and Applications Dr. Vishwanath Karad MIT World Peace UniversityPune, Maharashtra, 411038, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 01 Apr 2023
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1740
- Pages:
- 677–683
Abstract
Keywords
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References
[1] Masdari, M., & Khezri, H. Efficient VM migrations using forecasting techniques in cloud computing: a comprehensive review. Cluster Computing, 23(4), 2629-2658 (2020).
[2] Hansraj, Tiwari, P. K., & Chaudhary, A. Secure VM placement analysis against co-location based attack in cloud. Journal of Discrete Mathematical Sciences and Cryptography, 24(5), 1457-1465 (2021).
[3] Hansraj, Tiwari, P. K., & Chaudhary, A. VM placement and cache-based side channel attack at computational level in cloud computing: A Survey. Journal of Discrete Mathematical Sciences and Cryptography, 24(5), 1467-1473 (2021).
[4] Sayadnavard, M. H., Haghighat, A. T., & Rahmani, A. M. A multi- objective approach for energy-efficient and reliable dynamic VM consolidation in cloud data centers. Engineering science and technology, an International Journal, 26, 100995 (2022).
[5] Varasteh, A., & Goudarzi, M. Server consolidation techniques in virtualized data centers: A survey. IEEE Systems Journal, 11(2), 772-783 (2015).
[6] Chaurasia, N., Kumar, M., Chaudhry, R., & Verma, O. P. Comprehensive survey on energy-aware server consolidation techniques in cloud computing. The Journal of Supercomputing, 77(10), 11682-11737 (2021).
[7] Hassan, H. A., Salem, S. A., & Saad, E. M. A smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment. Future Generation Computer Systems, 112, 431-448 (2020).
[8] Jakóbik, A., Grzonka, D., Kolodziej, J., Chis, A. E., & González-Vélez, H. Energy efficient scheduling methods for computational grids and clouds. Journal of Telecommunications and Information Technology, 1, 56-64 (2017).
[9] C. Gu, H. Huang, X. Jia, Power metering for virtual machine in cloud computing-challenges and opportunities, IEEE Access 2, 1106-1116 (2014). doi:10.1109/ACCESS.2014.2358992.
[10] Fernández-Cerero, D., Jakóbik, A., Grzonka, D., Kołodziej, J., & Fernández-Montes, A. Security supportive energy-aware scheduling and energy policies for cloud environments. Journal of Parallel and Distributed Computing, 119, 191-202 (2018).
[11] Li, Y., Wang, Y., Yin, B., & Guan, L. An online power metering model for cloud environment. In 2012 ieee 11th international symposium on network computing and applications. IEEE, pp. 175-180 (2012, August).
[12] Scheduling in infrastructure as a service cloud: A systematic review. Journal of Network and Systems Management, 29(2), 1-57.
[13] Asghari, S., & Navimipour, N. J. Cloud service composition using an inverted ant colony optimisation algorithm. International Journal of Bio-Inspired Computation, 13(4), 257-268 (2019).
[14] Dasgupta, K., Mandal, B., Dutta, P., Mandal, J. K., & Dam, S. A genetic algorithm (ga) based load balancing strategy for cloud computing. Procedia Technology, 10, 340-347 (2013).
[15] Hansraj, Tiwari, P. K., & Chaudhary, A. Secure VM placement analysis against co-location based attack in cloud. Journal of Discrete Mathematical Sciences and Cryptography, 24(5), 1457-1465 (2021).




