References
- Dayarathna, M., Wen, Y., & Fan, R. (2015). Data center energy consumption modeling: A survey. IEEE Communications surveys & tutorials, 18(1), 732-794. DOI : 10.1109/COMST.2015.2481183
- Jeong, Y. S. (2024). Design of HIoTAI Model with Big Data-Based AI Model in Cloud Environment. Smart Convergence Contents Society, 3(1), 8-15.
- Yadav, V., Malik, P., Kumar, A., & Sahoo, G. (2015, November). Energy efficient data center in cloud computing. In 2015 IEEE international conference on cloud computing in emerging markets (CCEM) (pp. 59-67). IEEE. DOI : 10.1109/CCEM.2015.14
- Chu, R. C., Simons, R. E., Ellsworth, M. J., Schmidt, R. R., & Cozzolino, V. (2004). Review of cooling technologies for computer products. IEEE Transactions on Device and materials Reliability, 4(4), 568-585. DOI : 10.1109/TDMR.2004.840855
- Jeong, Y. S. (2024). Blockchain-based Important Information Management Techniques for IoT Environment. Advanced Industrial SCIence, 3(1), 30-36. DOI : 10.23153/AI-Science.2024.3.1.030
- Barhate, S. (2022). An Implementation of Divide and Conquer Clustering Technique for Improving the Interoperability in Hybrid Cloud Environemnt. International Journal on Recent and Innovation Trends in Computing and Communication, 10, 182-189, DOI : 10.17762/ijritcc.v10i1s.5822
- Chee Yin, H. N., Kassem, M. M., & Mohamed Nazri, F. (2022). Comprehensive review of community seismic resilience: concept, frameworks, and case studies. Advances in Civil Engineering, 2022(1), 7668214. DOI : 10.1155/2022/7668214
- Jeong, Y. S. (2024). Blockchain and AI-based big data processing techniques for sustainable agricultural environments. Advanced Industrial SCIence, 3(2), 17-22. DOI : 10.23153/AI-Science.2024.3.2.017
- Jeong, Y. S. (2023). Hierarchical IoT Edge Resource Allocation and Management Techniques based on Synthetic Neural Networks in Distributed AIoT Environments. Advanced Industrial SCIence, 2(3), 8-14. DOI : 10.23153/AI-Science.2023.2.3.008
- Alyas, T., Alissa, K., Alqahtani, M., Faiz, T., Alsaif, S. A., Tabassum, N., & Naqvi, H. H. (2022). Multi‐Cloud Integration Security Framework Using Honeypots. Mobile Information Systems, 2022(1), 2600712. DOI : 10.1155/2022/2600712
- Kaur, J., Kaur, J., Kapoor, S., & Singh, H. (2021). Design & development of customizable web API for interoperability of antimicrobial resistance data. Sci Rep, 11, 11226. DOI : 10.1038/s41598-021-90601-z
- Xu, Z., & Chopra, S. S. (2023). Interconnectedness enhances network resilience of multimodal public transportation systems for Safe-to-Fail urban mobility. Nature communications, 14(1), 4291. DOI: 10.1038/s41467-023-39999-w
- Agbaegbu, J., Arogundade, O. T., Misra, S., & Damaševičius, R. (2021). Ontologies in cloud computing—review and future directions. Future Internet, 13(12), 302. DOI : 10.3390/fi13120302
- Cabrini, F. H., Valiante Filho, F., Rito, P., Barros Filho, A., Sargento, S., Venâncio Neto, A., & Kofuji, S. T. (2021). Enabling the industrial Internet of Things to cloud continuum in a real city environment. Sensors, 21(22), 7707. DOI : 10.3390/s21227707
- Tomarchio, O., Calcaterra, D., Di Modica, G., & Mazzaglia, P. (2021). Torch: a tosca-based orchestrator of multi-cloud containerised applications. Journal of Grid Computing, 19(1), 5. DOI : 10.1007/s10723-021-09549-z
- Saxena, D., Vaisla, K. S., & Rauthan, M. S. (2019). Abstract model of trusted and secure middleware framework for multi-cloud environment. In Advanced Informatics for Computing Research: Second International Conference, ICAICR 2018, Shimla, India, July 14-15, 2018, Revised Selected Papers, Part II 2 (pp. 469-479). Springer Singapore. DOI : 10.1007/978-981-13-3143-5_38