Design and Implementation of a High-availability Network Infrastructure for Large-scale Interactive E-learning
DOI:
https://doi.org/10.13052/jwe1540-9589.2542Keywords:
High availability, Web engineering, Microservices, Interactive online education, Kubernetes, Service grid, elastic scalingAbstract
Large-scale interactive online education platforms present significant challenges to traditional elastic scaling strategies based on static thresholds due to their dynamic and unpredictable load characteristics. This article designs and implements a cloud native high-availability network infrastructure centered around an intelligent elastic scaling model that integrates time series prediction and reinforcement learning. This architecture deeply integrates microservices and service mesh technology, predicting short-term resource requirements through historical load and contextual information (such as course schedules), and driving Kubernetes clusters to perform pre-scaling. The research is validated through simulation analysis and real prototype system experiments. The results show that in the simulation environment, the model improves resource prediction accuracy by 25% compared to traditional Horizontal Pod Autoscaler (HPA) strategies, and reduces service level agreement (SLA) violation rates by more than 60% during sudden traffic. In practical systems, the average response delay during peak periods is reduced by 40%, resource utilization increases by 35%, and system availability reaches 99.99%, significantly improving service quality and resource utilization efficiency.
Downloads
References
G. Ortiz, J. Boubeta-Puig, J. Criado, D. Corral-Plaza, A. Garcia-de-Prado, I. Medina-Bulo, L. Iribarne, ‘A microservice architecture for real-time IoT data processing: A reusable Web of things approach for smart ports’, Computer Standards & Interfaces, Vol. 81, No. 103604, 2022.
Ö. Canay, Ü. Kocabıçak, ‘Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework’, Knowledge-Based Systems, Vol. 306, No. 112710, 2024.
P. Kotilainen, N. Mäkitalo, K. Systä, A. Mehraj, M. Waseem, T. Mikkonen, J. Manuel Murillo, ‘Allocating distributed AI/ML applications to cloud–edge continuum based on privacy, regulatory, and ethical constraints’, Journal of Systems and Software, Vol. 222, No. 112333, 2025.
H. Kumar Apat, B. Sahoo, ‘LESP:A fault-aware internet of things service placement in fog computing’, Sustainable Computing: Informatics and Systems, Vol. 46, No. 101097, 2025,
P. Alho, J. Mattila, ‘Service-oriented approach to fault tolerance in CPSs’, Journal of Systems and Software, Vol. 105, pp. 1–17, 2015.
Y. Wang, P. Castillejo, J. Martínez-Ortega, V. Hernández Díaz, ‘A survey on Identity and Access Management for future IoT services’, Computer Networks, Vol. 272, No. 111718, 2025.
L. Zhou, W. Yau, Y. Gan, S. Liong, ‘E-WebGuard: Enhanced neural architectures for precision web attack detection’, Computers & Security, Vol. 148, No. 104127, 2025.
K. Xu, B. Zhang, J. Li, H. He, R. Ren, J. Ren, ‘DRacv: Detecting and auto-repairing vulnerabilities in role-based access control in web application’, Journal of Network and Computer Applications, Vol. 240, No. 104191, 2025.
N. Prabakaran, A. Anbarasi, N. Deepa, P. Pandiaraja, ‘Enabling an On-demand Access to Community Sentiments using LSTM RNNs Web Service Architecture’, Procedia Computer Science, Vol. 230, pp. 584–597, 2023.
J. Li, ‘Research On Optimization Model of High Availability and Flexibility of Blockchain System Based on Microservice Architecture’, Procedia Computer Science, Vol. 261, pp. 207–216, 2025.
N. Alshuqayran, N. Ali, R. Evans, ‘A model-driven architecture approach for recovering microservice architectures: Defining and evaluating MiSAR’, Information and Software Technology, Vol. 186, No. 107808, 2025.
S. Arora, A. Ksentini, ‘Christian Bonnet, Cloud native Lightweight Slice Orchestration (CLiSO) framework’, Computer Communications, Vol. 213, pp. 1–12, 2024.
Muddesar Iqbal, Sohail Sarwar, ‘Muhammad Safyan, Moustafa Nasralla, Personalized and adaptive e-learning systems for semantic Web: a systematic review and roadmap’, International Journal of Web Information Systems, Vol. 21, No. 4, pp. 327–352, 2024.
K. Maheswari, C. Siva, G. Nalinipriya, ‘Optimal cluster based feature selection for intrusion detection system in web and cloud computing environment using hybrid teacher learning optimization enables deep recurrent neural network’, Computer Communications, Vol. 202, pp. 145–153, 2023.
A. Sezgin, A. Boyacı, ‘DecoyPot: A large language model-driven web API honeypot for realistic attacker engagement’, Computers & Security, Vol. 154, No. 104458, 2025.
J. Dogani, F. Khunjush, ‘Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model’, Journal of Parallel and Distributed Computing, Vol. 187, No. 104837, 2024.
Y. Jiang, M. Li, W. Wu, X. Wu, X. Zhang, X. Huang, R. Zhong, G. George, ‘Multi-domain ubiquitous digital twin model for information management of complex infrastructure systems’, Advanced Engineering Informatics, Vol. 56, No. 101951, 2023.
R. Girau, M. Anedda, R. Presta, S. Corpino, P. Ruiu, M. Fadda, C. Lam, D. Giusto, ‘Definition and implementation of the Cloud Infrastructure for the integration of the Human Digital Twin in the Social Internet of Things’, Computer Networks, Vol. 251, No. 110632, 2024.
