Open Access
Issue
EPJ Web Conf.
Volume 380, 2026
International Conference on Information Systems and Communication Technologies (ICISCT’25)
Article Number 02017
Number of page(s) 15
Section Artificial Intelligence, Advanced Control Systems, and Energy Management
DOI https://doi.org/10.1051/epjconf/202638002017
Published online 03 August 2026
  1. R. Aoudjit (wife Lagab), “Charging Decision-Making in Mobile Networks: Load and Energy Threshold Management,” Doctoral thesis, Université Mouloud Mammeri de Tizi-Ouzou, 2020. [Google Scholar]
  2. J. Geelan. Twenty-one experts define cloud computing. Virtualization, Electronic Magazine, 2008. [Google Scholar]
  3. R. Buyya, C. S. Yeo, and S. Venugopal. Market-oriented cloud computing: Vision, hype and reality for delivering IT services as computing utilities. In 10th IEEE HPCC′08, pages 5–13. IEEE, 2008. [Google Scholar]
  4. L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner. A break in the clouds: Towards a cloud definition. SIGCOMM Comput. Commun. Rev., 39(1):50–55, 2008. [Google Scholar]
  5. P. Mell and T. Grance. The NIST definition of cloud computing (draft). NIST ecial Publication, 800(145):7, 2011. [Google Scholar]
  6. Zhang, Q., Cheng, L. and Boutaba, R. 2010. Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1):7–18. [Google Scholar]
  7. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic. Cloud computing and emerging IT platforms. Future Generation Computer Systems, 25(6):599–616, 2009. [CrossRef] [Google Scholar]
  8. R. Buyya, A. Beloglazov, and J. Abawajy. Energy-Efficient Management of Data center Resources for Cloud Computing. arXiv:1006.0308, 2010. [Google Scholar]
  9. C.-H. Hsu. Dynamic Virtual Machine Resource Provisioning for Energy-Efficient Cloud Computing. In Proc. IEEE Int. Conf, on Cluster Computing, 2012. [Google Scholar]
  10. A. Y. Zomaya and Y.-C. Lee. A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems. arXiv:1007.0066, 2010. [Google Scholar]
  11. Usman M. J., Ismail A. S., Chizari H., et al. Energy-efficient virtual machine allocation technique using flower pollination algorithm in cloud datacenter. Journal of Bionic Engineering, 16:354–366, 2019. [Google Scholar]
  12. Aghasi Ali, Jamshidi Kamal, Bohlooli Ali, and Bahman Javai. A decentralized adaptation of model-free Q-learning for thermal-aware energy-efficient virtual machine placement in cloud data centers. Computer Networks 224 (2023): 109624. [Google Scholar]
  13. Q. Li. Optimization of Resource Scheduling in Cloud Computing. ResearchGate, 2012. [Google Scholar]
  14. Nash Equilibrium-Based Replacement of Virtual Machines for Efficient Utilization of Cloud Data Centers. Academia.edu. [Google Scholar]
  15. Multi-Resource Optimization via Ant-Inspired Algorithm for Virtual Machine Placement in Cloud Data Centers. arXiv:2311.16147, 2023. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.