6 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…
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…
Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning
Ze Yang, Yihong Jin, Yihan Zhang +2
The fast development of large language models (LLMs) and popularization of cloud computing have led to increasing concerns on privacy safeguarding and data security of cross-cloud…
HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models
Ze Yang, Yihong Jin, Xinhe Xu
Large Language Models (LLMs) have revolutionized natural language processing by understanding and generating human-like text. However, the increasing demand for more sophisticated…