Spectral graph theory for large-scale network topology optimization in cloud computing
*Sumanth BanakarCorresponding authorsbanakar@ieee.orgDepartment of Information TechnologyUniversity of the CumberlandsWilliamsburg, Kentucky, 40769, U. S. A.View full profile → , Venkatesh Ankarla Sri Ramuloovankarla@ieee.orgDepartment of Information TechnologyUniversity of the CumberlandsWilliamsburg, Kentucky, 40769, U. S. A.View full profile → , Lokesh Vegilokeshvegi@ieee.orgDepartment of Information TechnologyUniversity of the CumberlandsWilliamsburg, Kentucky, 40769, U. S. A.View full profile → , Awanit Kumaritsawanitkumar@gmail.comDepartment of Computer Science and EngineeringCareer Point UniversityKota, Rajasthan, 324005, IndiaView full profile → , Rohit Maheshwarirohit.maheshwari27@gmail.comDepartment of Computer Science and EngineeringCareer Point UniversityKota, Rajasthan, 324005, IndiaView full profile → , Nirmal Singhnirmal7766@gmail.comDepartment of Computer Science and EngineeringCareer Point UniversityKota, Rajasthan, 324005, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 08 Jul 2025
- Published Online:
- 31 Oct 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2560
- Pages:
- 2899–2906
Abstract
Keywords
Subject Classifications
References
[1] I. Cameron, T. Tomesh, Z. Sasycamorem, and I. Safro, “Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization,” arXiv, arXiv:2405.00861 (2024).
[2] S. K. Deb and W. D. Pan, “Quantum Image Compression: Fundamentals, Algorithms, and Advances,” Computers, vol. 13, pp. 185 (2024).
[3] M. Casals, V. Belis, E. F. Combarro, E. Alarcón, S. Vallecorsa, and M. Grossi, “Guided Graph Compression for Quantum Graph Neural Networks,” arXiv, arXiv:2506.09862 (2025).
[4] C. Liu, W. B. Lee, and A. G. Constantinides, “Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators,” Computers, vol. 14, pp. 137 (2025).
[5] R. Lewis, “Algorithms for finding shortest paths in networks with vertex transfer penalties,” Algorithms, vol. 13, pp. 269 (2020).
[6] F. N. Jardow and M. Jameel, “Modified Barzilai-Borwein (MBB) gradient method for solving fuzzy nonlinear equations,” Journal of Information and Optimization Sciences, vol. 46, no. 5, pp. 1559–1568 (2025), doi: 10.47974/JIOS-1805.
[7] D. S. Lakew, U. Sa’ad, N. N. Dao, W. Na, and S. Cho, “Routing in flying ad hoc networks: A comprehensive survey,” IEEE Commun. Surv. Tutorials, vol. 22, pp. 1071–1120 (2020).
[8] M. M. Alam and S. Moh, “Survey on Q-Learning-Based Position-Aware Routing Protocols in Flying Ad Hoc Networks,” Electronics, vol. 11, pp. 1099 (2022).
[9] W. Jiang, “Software defined satellite networks: A survey,” Digit. Commun. Netw., vol. 9, pp. 1243–1264 (2023).
[10] S. Yang, C. Tan, D. Ø. Madsen, H. Xiang, Y. Li, I. Khan, and B. J. Choi, “Comparative Analysis of Routing Schemes Based on Machine Learning,” Mob. Inf. Syst., vol. 2022, pp. 4560072 (2022).
[11] W. Jiang, “Applications of deep learning in stock market prediction: Recent progress,” Expert Syst. Appl., vol. 184, pp. 115537 (2021).
[12] S. S. More and P. R. Birmule, “The Psychology of Successful Sports: Improving Health and Performance,” Int. J. Res. Dev. Manag. Rev., vol. 14, no. 1, pp. 55–57 (May 2025).
