5 papers
An Artificial Intelligence Framework for Joint Structural-Temporal Load Forecasting in Cloud Native Platforms
Qingyuan Zhang
This study targets cloud native environments where microservice invocation relations are complex, load fluctuations are multi-scale and superimposed, and cross-service impacts are…
Advancing Text Classification with Large Language Models and Neural Attention Mechanisms
Ning Lyu, Yuxi Wang, Feng Chen +1
This study proposes a text classification algorithm based on large language models, aiming to address the limitations of traditional methods in capturing long-range dependencies, u…
Knowledge-Augmented Large Language Model Agents for Explainable Financial Decision-Making
Qingyuan Zhang, Yuxi Wang, Cancan Hua +2
This study investigates an explainable reasoning method for financial decision-making based on knowledge-enhanced large language model agents. To address the limitations of traditi…
Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
Qingyuan Zhang, Ning Lyu, Le Liu +3
This study addresses the problem of anomaly detection and root cause tracing in microservice architectures and proposes a unified framework that combines graph neural networks with…
Multi-Objective Adaptive Rate Limiting in Microservices Using Deep Reinforcement Learning
Ning Lyu, Yuxi Wang, Ziyu Cheng +2
As cloud computing and microservice architectures become increasingly prevalent, API rate limiting has emerged as a critical mechanism for ensuring system stability and service qua…