8 papers
An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning
Ze Yang, Yihong Jin, Juntian Liu +1
As the scale and complexity of cloud-based AI systems continue to increase, the detection and adaptive recovery of system faults have become the core challenges to ensure service r…
Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM
Yihong Jin, Ze Yang, Juntian Liu +1
With the rapid development of multi-cloud environments, it is increasingly important to ensure the security and reliability of intelligent monitoring systems. In this paper, we pro…
Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models
Ze Yang, Yihong Jin, Juntian Liu +3
The rapidly evolving cloud platforms and the escalating complexity of network traffic demand proper network traffic monitoring and anomaly detection to ensure network security and…
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling
Yihong Jin, Ze Yang
The rapid expansion of AI inference services in the cloud necessitates a robust scalability solution to manage dynamic workloads and maintain high performance. This study proposes…
Relativistic effects in the strong and electromagnetic decays of meson
Man Jia, Wei Li, Su-Yan Pei +3
In this paper, we solve the complete Salpeter equation and use the obtained relativistic wave function to calculate the strong and radiative electromagnetic decays of the m…
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments
Yihong Jin, Ze Yang, Xinhe Xu +2
With the rapid evolution of Large Language Models (LLMs) and their large-scale experimentation in cloud-computing spaces, the challenge of guaranteeing their security and efficienc…