The Impact of Network Load Balancing on Organizational Efficiency and Managerial Decision-Making in Digital Enterprises
DOI:
https://doi.org/10.5281/zenodo.12751873ARK:
https://n2t.net/ark:/40704/AJSM.v2n4a07Keywords:
Network Load Balancing, Managerial Decision-Making, Organizational Efficiency, Scalability, Digital TransformationAbstract
In the digital era, maintaining efficient and reliable network infrastructure is crucial for organizational success. Network Load Balancing (NLB) plays a pivotal role in this context, ensuring optimal performance and availability of network services. This paper explores the impact of NLB on organizational efficiency and managerial decision-making in digital enterprises. By examining various NLB strategies and their implications on performance metrics, this study provides insights into how technical optimizations influence strategic management decisions. Experimental data are analyzed to support the findings, highlighting the importance of integrating NLB strategies into organizational frameworks. The research not only focuses on performance improvement but also considers cost-effectiveness and scalability, providing a comprehensive view of how NLB can support long-term business and management goals. The findings underscore the significance of adaptive NLB strategies in sustaining high service levels, minimizing operational risks, and enhancing decision-making processes through real-time data analytics and monitoring.
Downloads
Metrics
References
Liu, T., Cai, Q., Xu, C., Zhou, Z., Xiong, J., Qiao, Y., & Yang, T. (2024). Image Captioning in news report scenario. arXiv preprint arXiv:2403.16209.
Xiong, J., Feng, M., Wang, X., Jiang, C., Zhang, N., & Zhao, Z. (2024). Decoding sentiments: Enhancing covid-19 tweet analysis through bert-rcnn fusion. Journal of Theory and Practice of Engineering Science, 4(01), 86-93.
Zhu, A., Liu, J., Li, K., Dai, S., Hong, B., Zhao, P., & Wei, C. (2024). Exploiting Diffusion Prior for Out-of-Distribution Detection. arXiv preprint arXiv:2406.11105.
Liu, T., Xu, C., Qiao, Y., Jiang, C., & Chen, W. (2024). News recommendation with attention mechanism. arXiv preprint arXiv:2402.07422.
Zhao, Z., Zhang, N., Xiong, J., Feng, M., Jiang, C., & Wang, X. (2024). Enhancing E-commerce Recommendations: Unveiling Insights from Customer Reviews with BERTFusionDNN. Journal of Theory and Practice of Engineering Science, 4(02), 38-44.
Yan, H., Xiao, J., Zhang, B., Yang, L., & Qu, P. (2024). The Application of Natural Language Processing Technology in the Era of Big Data. Journal of Industrial Engineering and Applied Science, 2(3), 20-27.
Su, J., Jiang, C., Jin, X., Qiao, Y., Xiao, T., Ma, H., ... & Lin, J. (2024). Large language models for forecasting and anomaly detection: A systematic literature review. arXiv preprint arXiv:2402.10350.
Zhang, Y., Gui, K., Zhu, M., Hao, Y., & Sun, H. (2024). Unlocking personalized anime recommendations: Langchain and llm at the forefront. Journal of Industrial Engineering and Applied Science, 2(2), 46-53.
Zhang, B., Xiao, J., Yan, H., Yang, L., & Qu, P. (2024). Review of NLP Applications in the Field of Text Sentiment Analysis. Journal of Industrial Engineering and Applied Science, 2(3), 28-34.
Liu, S., Wu, K., Jiang, C., Huang, B., & Ma, D. (2023). Financial time-series forecasting: Towards synergizing performance and interpretability within a hybrid machine learning approach. arXiv preprint arXiv:2401.00534.
Hong, B., Zhao, P., Liu, J., Zhu, A., Dai, S., & Li, K. (2024). The application of artificial intelligence technology in assembly techniques within the industrial sector. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 1-12.
Zhao, Y., Wu, J., Qu, P., Zhang, B., & Yan, H. (2024). Assessing User Trust in LLM-based Mental Health Applications: Perceptions of Reliability and Effectiveness. Journal of Computer Technology and Applied Mathematics, 1(2), 19-26.
Yi, X., & Qiao, Y. (2024). GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction. arXiv preprint arXiv:2404.10928.
Dai, S., Li, K., Luo, Z., Zhao, P., Hong, B., Zhu, A., & Liu, J. (2024). AI-based NLP section discusses the application and effect of bag-of-words models and TF-IDF in NLP tasks. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 13-21.
Li, H., Xu, F., & Lin, Z. (2023). ET-DM: Text to image via diffusion model with efficient Transformer. Displays, 80, 102568.
Zhibin, Z. O. U., Liping, S. O. N. G., & Xuan, C. (2019). Labeled box-particle CPHD filter for multiple extended targets tracking. Journal of Systems Engineering and Electronics, 30(1), 57-67.
Zou, Z. B., Song, L. P., & Song, Z. L. (2017, December). Labeled box-particle PHD filter for multi-target tracking. In 2017 3rd IEEE International Conference on Computer and Communications (ICCC) (pp. 1725-1730). IEEE.
Zhang, B., Yan, H., Wu, J., & Qu, P. (2024). Application of Semantic Analysis Technology in Natural Language Processing. Journal of Computer Technology and Applied Mathematics, 1(2), 27-34.
Zhang, N., Xiong, J., Zhao, Z., Feng, M., Wang, X., Qiao, Y., & Jiang, C. (2024). Dose My Opinion Count? A CNN-LSTM Approach for Sentiment Analysis of Indian General Elections. Journal of Theory and Practice of Engineering Science, 4(05), 40-50.
Feng, M., Wang, X., Zhao, Z., Jiang, C., Xiong, J., & Zhang, N. (2024). Enhanced Heart Attack Prediction Using eXtreme Gradient Boosting. Journal of Theory and Practice of Engineering Science, 4(04), 9-16.
Sun, Y., Cui, Y., Hu, J., & Jia, W. (2018). Relation classification using coarse and fine-grained networks with SDP supervised key words selection. In Knowledge Science, Engineering and Management: 11th International Conference, KSEM 2018, Changchun, China, August 17–19, 2018, Proceedings, Part I 11 (pp. 514-522). Springer International Publishing.
Jia, J., Wang, N., Liu, Y., & Li, H. (2024). Fast Two-Grid Finite Element Algorithm for a Fractional Klein-Gordon Equation. Contemporary Mathematics, 1164-1180.
Li, K., Zhu, A., Zhou, W., Zhao, P., Song, J., & Liu, J. (2024). Utilizing deep learning to optimize software development processes. arXiv preprint arXiv:2404.13630.
Zhang, Y., Zhu, M., Gui, K., Yu, J., Hao, Y., & Sun, H. (2024). Development and application of a monte carlo tree search algorithm for simulating da vinci code game strategies. arXiv preprint arXiv:2403.10720.
Wang, J., Wang, J., Dai, S., Yu, J., & Li, K. (2024). Research on emotionally intelligent dialogue generation based on automatic dialogue system. arXiv preprint arXiv:2404.11447.
Zhu, M., Zhang, Y., Gong, Y., Xing, K., Yan, X., & Song, J. (2024). Ensemble methodology: Innovations in credit default prediction using lightgbm, xgboost, and localensemble. arXiv preprint arXiv:2402.17979.
Zou, Z., Careem, M., Dutta, A., & Thawdar, N. (2023). Joint spatio-temporal precoding for practical non-stationary wireless channels. IEEE Transactions on Communications, 71(4), 2396-2409.
Zou, Z., Careem, M., Dutta, A., & Thawdar, N. (2022, May). Unified characterization and precoding for non-stationary channels. In ICC 2022-IEEE International Conference on Communications (pp. 5140-5146). IEEE.
Liu, T., Xu, C., Qiao, Y., Jiang, C., & Yu, J. (2024). Particle filter slam for vehicle localization. arXiv preprint arXiv:2402.07429.
Song, J., Liu, H., Li, K., Tian, J., & Mo, Y. (2024). A comprehensive evaluation and comparison of enhanced learning methods. Academic Journal of Science and Technology, 10(3), 167-171.
Qu, P., Zhang, B., Wu, J., & Yan, H. (2024). Comparison of Text Classification Algorithms based on Deep Learning. Journal of Computer Technology and Applied Mathematics, 1(2), 35-42.
Zhang, Y., Zhu, M., Gong, Y., & Ding, R. (2023). Optimizing science question ranking through model and retrieval-augmented generation. International Journal of Computer Science and Information Technology, 1(1), 124-130.
Xiong, J., Jiang, C., Zhao, Z., Qiao, Y., Zhang, N., Feng, M., & Wang, X. (2024). Selecting the Best Fit Software Programming Languages: Using BERT for File Format Detection. Journal of Theory and Practice of Engineering Science, 4(06), 20-28.
Jin, J., Ni, F., Dai, S., Li, K., & Hong, B. (2024). Enhancing federated semi-supervised learning with out-of-distribution filtering amidst class mismatches. Journal of Computer Technology and Applied Mathematics, 1(1), 100-108.
Lai, Y., Yang, G., He, Y., Luo, Z., & Li, S. (2024, April). Selective Domain-Invariant Feature for Generalizable Deepfake Detection. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2335-2339). IEEE.
Li, K., Xirui, P., Song, J., Hong, B., & Wang, J. (2024). The application of augmented reality (ar) in remote work and education. arXiv preprint arXiv:2404.10579.
Liu, T., Cai, Q., Xu, C., Zhou, Z., Ni, F., Qiao, Y., & Yang, T. (2024). Rumor Detection with a novel graph neural network approach. arXiv preprint arXiv:2403.16206.
Zhu, A., Li, K., Wu, T., Zhao, P., Zhou, W., & Hong, B. (2024). Cross-task multi-branch vision transformer for facial expression and mask wearing classification. arXiv preprint arXiv:2404.14606.
Zhang, Y., Gong, Y., Cui, D., Li, X., & Shen, X. (2024). Deepgi: An automated approach for gastrointestinal tract segmentation in mri scans. arXiv preprint arXiv:2401.15354.
Lai, Y., Yu, Z., Yang, J., Li, B., Kang, X., & Shen, L. (2024). GM-DF: Generalized Multi-Scenario Deepfake Detection. arXiv preprint arXiv:2406.20078.
Ni, F., Zang, H., & Qiao, Y. (2024, January). Smartfix: Leveraging machine learning for proactive equipment maintenance in industry 4.0. In The 2nd International scientific and practical conference “Innovations in education: prospects and challenges of today”(January 16-19, 2024), Sofia, Bulgaria, International Science Group (p. 313).
Zhao, P., Li, K., Hong, B., Zhu, A., Liu, J., & Dai, S. (2024). Task allocation planning based on hierarchical task network for national economic mobilization. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 22-31.
Wang, X., Qiao, Y., Xiong, J., Zhao, Z., Zhang, N., Feng, M., & Jiang, C. (2024). Advanced network intrusion detection with tabtransformer. Journal of Theory and Practice of Engineering Science, 4(03), 191-198.
Downloads
Published
How to Cite
Issue
Section
ARK
License
Copyright (c) 2024 The author retains copyright and grants the journal the right of first publication.
This work is licensed under a Creative Commons Attribution 4.0 International License.
