Research on the Emergence and Development Trend of Software Defined Networks
DOI:
https://doi.org/10.53469/ijomsr.2024.07(04).05Keywords:
Computer, Network, Generate, Development TrendsAbstract
With the rise and development of computer networks, more and more network architecture systems have emerged, and software defined networks have also emerged. As a new type of network architecture system, it is used to achieve flexible control of network traffic and make the network a resource that can be flexibly allocated according to its own needs. For traditional networks, the architecture of traditional networks will encounter many problems, and the traditional network structure system is complex in hierarchy and has a large number of business volumes, making it difficult to cope with the development of future network systems and solve the problems of future network architecture. This article mainly introduces the emergence and development trends of software defined networks, as well as the help that software defined networks can bring to future network systems.
References
Ren, Z. (2024). VGCN: An Enhanced Graph Convolutional Network Model for Text Classification. Journal of Industrial Engineering and Applied Science, 2(4), 110-115.
Yao, J., & Yuan, B. (2024). Optimization Strategies for Deep Learning Models in Natural Language Processing. Journal of Theory and Practice of Engineering Science, 4(05), 80-87.
Sun, Z. , Li, Y. , & Zhang, W. . (2019). Research on the development trend and auditing mode of high security enterprise intranet security audit. IEEE.
Yang, L. , & Liu, Q. . (2021). A brief talk about the modern application of computer software technology and the development trend of research. Journal of Physics: Conference Series, 1992(4), 042024-.
Du, Y. , Chen, S. , & Tang, L. . (2021). The research progress and development trend of carbon accounting:an analysis based on citespace.
Da, R. , Shuyi, W. , & Kim, C. Y. . (2020). Research on the current situation and development trend of live webcasting of important space missions. IEEE.
Yan, G. , Wang, J. , Ren, S. , & Xue, C. . (2023). A review of routing optimization techniques for quality of service assurance in software-defined networks. Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning.
Song, H. , Chen, J. , Cao, S. , Cui, D. , Li, T. , & Su, Y. . (2017). A research on the application of software defined networking in satellite network architecture. 2nd International Conference on Materials Science, ReSource and Environmental Engineering (MSREE 2017). AIP Publishing LLC AIP Publishing.
Wang, Z., Zhu, Y., Li, Z., Wang, Z., Qin, H., & Liu, X. (2024). Graph neural network recommendation system for football formation. Applied Science and Biotechnology Journal for Advanced Research, 3(3), 33-39.
Yuan, B., & Song, T. (2023, November). Structural Resilience and Connectivity of the IPv6 Internet: An AS-level Topology Examination. In Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering (pp. 853-856).
Wang, Z., Zhu, Y., He, S., Yan, H., & Zhu, Z. (2024). LLM for Sentiment Analysis in E-commerce: A Deep Dive into Customer Feedback. Applied Science and Engineering Journal for Advanced Research, 3(4), 8-13.
Wu, X., Wu, Y., Li, X., Ye, Z., Gu, X., Wu, Z., & Yang, Y. (2024). Application of adaptive machine learning systems in heterogeneous data environments. Global Academic Frontiers, 2(3), 37-50.
Wang, Z. (2024, August). CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models. In Proceedings of the 10th SIGHAN Workshop on Chinese Language Processing (SIGHAN-10) (pp. 143-151).
Xu, X., Yuan, B., Song, T., & Li, S. (2023, November). Curriculum recommendations using transformer base model with infonce loss and language switching method. In 2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 389-393). IEEE.
Ma, Y., Shen, Z., & Shen, J. (2024). Cloud Computing and Hyperscale Data Centers: A Comparative Study of Usage Patterns. Journal of Theory and Practice of Engineering Science, 4(06), 11-19.
Xu, J., Jiang, Y., Yuan, B., Li, S., & Song, T. (2023, November). Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling. In 2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 384-388). IEEE.
Park, J. , Cho, H. , Gil, J. M. , & Yun, B. J. . (2015). Analysis on Study Trend and Technical Feature of Software-Defined Networking. FTRA international conference on computer science and its applications.
Yuan, B. (2024). Design of an Intelligent Dialogue System Based on Natural Language Processing. Journal of Theory and Practice of Engineering Science, 4(01), 72-78.
Song, H. , Chen, J. , Cao, S. , Cui, D. , & Su, Y. . (2017). A research on the application of software defined networking in satellite network architecture. 2ND INTERNATIONAL CONFERENCE ON MATERIALS SCIENCE, RESOURCE AND ENVIRONMENTAL ENGINEERING (MSREE 2017). American Institute of Physics Conference Series.
Alba, A. , Alatorre, G. , Bolik, C. , & Corrao, A. . (2014). Efficient and agile storage management in software defined environments. Ibm Journal of Research & Development, 58(2), 5:1-5:12.
Yuan, B., Song, T., & Yao, J. (2024, January). Identification of important nodes in the information propagation network based on the artificial intelligence method. In 2024 4th International Conference on Consumer Electronics and Computer Engineering (ICCECE) (pp. 11-14). IEEE.
Park, J. , Cho, H. , Gil, J. M. , & Yun, B. J. . (2015). Analysis on study trend and technical feature of software-defined networking. LECTURE NOTES IN ELECTRICAL ENGINEERING, 330, 1201-1208.
Ji, H., Xu, X., Su, G., Wang, J., & Wang, Y. (2024). Utilizing Machine Learning for Precise Audience Targeting in Data Science and Targeted Advertising. Academic Journal of Science and Technology, 9(2), 215-220.
Lu, Q., Guo, X., Yang, H., Wu, Z., & Mao, C. (2024). Research on Adaptive Algorithm Recommendation System Based on Parallel Data Mining Platform. Advances in Computer, Signals and Systems, 8(5), 23-33.
Yao, J., & Yuan, B. (2024). Research on the Application and Optimization Strategies of Deep Learning in Large Language Models. Journal of Theory and Practice of Engineering Science, 4(05), 88-94.