This article discusses strategies for improving the stability of advertising services during peak traffic periods. Faced with the surge in advertising demand, advertising service services have encountered problems such as increased system carrying pressure, slowed response speed, and uneven resource allocation. Proposed strategies such as optimizing load balancing and traffic allocation, achieving elastic expansion and reasonable allocation of resources, conducting traffic prediction to optimize scheduling strategies, and strengthening system redundancy design and disaster recovery backup, with the aim of enhancing the stability and service quality of advertising service systems during peak traffic periods. Adopting these strategies can effectively handle traffic fluctuations, ensure the stability of advertising services, and protect the interests and returns of advertisers.

Jingtian Zhang. Research on Optimizing Advertising Service Stability under Peak Traffic. International Journal of Multimedia Computing (2025), Vol. 6, Issue 1: 160-167. https://doi.org/10.38007/IJMC.2025.060116.

[1] Thanh B K. The role of self-efficacy and firm size in the online advertising services continuous adoption intention: Theory of planned behavior approach. Journal of Open Innovation: Technology, Market, and Complexity, 2023, 9(1).

[2] Yu Y, Sheng C. A Study on Data Monitoring and Effect Optimization of Programmed Advertising Platform: Taking “Ocean Engine” as an Example. Journal of Physics: Conference Series, 2021, 1883(1).

[3] Yong H, Yanan Y, Zhongyuan W, et al. Equilibrium Pricing, Advertising, and Quality Strategies in a Platform Service Supply Chain. Asia-Pacific Journal of Operational Research, 2022, 39(1).

[4] Joel R, B. N M, Vassilis B, et al. A new model for optimal advertising impression allocation across consumer segments. Applied Marketing Analytics, 2023, 9(2):117-133.

[5] Utkarsh. Tangible and intangible quality cues in service advertising: A construal level theory perspective. Journal of Global Scholars of Marketing Science, 2023, 33(1):90-106.

[6] Gao B, Wang Y, Xie H, et al. Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization. SAGE Open, 2023, 13(4)

[7] Yang Y, Feng B, Salminen J, et al. Optimal advertising for a generalized Vidale–Wolfe response model. Electronic Commerce Research, 2021, 22(4):1-31.

[8] Y. Zhao, "Design and Financial Risk Control Application of Credit Scoring Card Model Based on XGBoost and CatBoost, " 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, 2025, pp. 1-5.

[9] B. Li, "Research on the Spatial Durbin Model Based on Big Data and Machine Learning for Predicting and Evaluating the Carbon Reduction Potential of Clean Energy," 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, 2025, pp. 1-5,.

[10] Q. Xu, "Implementation of Intelligent Chatbot Model for Social Media Based on the Combination of Retrieval and Generation,” 2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India, 2025, pp. 1-7.

[11] Su H, Luo W, Mehdad Y, et al. Llm-friendly knowledge representation for customer support[C]//Proceedings of the 31st International Conference on Computational Linguistics: Industry Track. 2025: 496-504.

[12] F. Liu, "Architecture and Algorithm Optimization of Realtime User Behavior Analysis System for Ecommerce Based on Distributed Stream Computing, " 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, 2025, pp. 1-84.

[13] Y. Zou, "Research on the Construction and Optimization Algorithm of Cybersecurity Knowledge Graphs Combining Open Information Extraction with Graph Convolutional Networks, " 2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India, 2025, pp. 1-5.

[14] M. Zhang, "Research on Joint Optimization Algorithm for Image Enhancement and Denoising Based on the Combination of Deep Learning and Variational Models, " 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, 2025, pp. 1-5.

[15] W. Han, "Using Spark Streaming Technology to Drive the Real-Time Construction and Improvement of the Credit Rating System for Financial Customers, " 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, 2025, pp. 1-6.

[16] Ding, J. (2025). Research On CODP Localization Decision Model Of Automotive Supply Chain Based On Delayed Manufacturing Strategy. arXiv preprint arXiv:2511. 05899.

[17] Wu Y. Optimization of Generative AI Intelligent Interaction System Based on Adversarial Attack Defense and Content Controllable Generation. 2025.

[18] Wang Y. Application of Data Completion and Full Lifecycle Cost Optimization Integrating Artificial Intelligence in Supply Chain. 2025.

[19] Chen M. Research on Automated Risk Detection Methods in Machine Learning Integrating Privacy Computing. 2025.

[20] Wei, X. (2025). Deployment of Natural Language Processing Technology as a Service and Front-End Visualization. International Journal of Engineering Advances, 2(3), 117-123.