Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Ji, Cheng, Luo, Huaiying |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing
par: Ji, Cheng, et autres
Publié: (2025)
par: Ji, Cheng, et autres
Publié: (2025)
The AI_INFN Platform: Artificial Intelligence Development in the Cloud
par: Anderlini, Lucio, et autres
Publié: (2025)
par: Anderlini, Lucio, et autres
Publié: (2025)
AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
par: Heredia, Ignacio, et autres
Publié: (2025)
par: Heredia, Ignacio, et autres
Publié: (2025)
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments
par: Jin, Yihong, et autres
Publié: (2025)
par: Jin, Yihong, et autres
Publié: (2025)
Intelligent Autonomous Orchestration for Distributed Cloud Resources using Complex-Stability Analysis
par: Shyam, Gopal Krishna, et autres
Publié: (2026)
par: Shyam, Gopal Krishna, et autres
Publié: (2026)
Scalable Cloud-Native Architectures for Intelligent PMU Data Processing
par: Chockalingam, Nachiappan, et autres
Publié: (2025)
par: Chockalingam, Nachiappan, et autres
Publié: (2025)
Thousand-GPU Large-Scale Training and Optimization Recipe for AI-Native Cloud Embodied Intelligence Infrastructure
par: Guo, Yongjian, et autres
Publié: (2026)
par: Guo, Yongjian, et autres
Publié: (2026)
Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference
par: He, Zifan, et autres
Publié: (2026)
par: He, Zifan, et autres
Publié: (2026)
TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
par: Stojkovic, Jovan, et autres
Publié: (2025)
par: Stojkovic, Jovan, et autres
Publié: (2025)
Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence
par: Xian, Youquan, et autres
Publié: (2024)
par: Xian, Youquan, et autres
Publié: (2024)
LogAct: Enabling Agentic Reliability via Shared Logs
par: Balakrishnan, Mahesh, et autres
Publié: (2026)
par: Balakrishnan, Mahesh, et autres
Publié: (2026)
AgileLog: A Forkable Shared Log for Agents on Data Streams
par: Bhat, Shreesha G., et autres
Publié: (2026)
par: Bhat, Shreesha G., et autres
Publié: (2026)
Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence
par: Chen, Xinquan, et autres
Publié: (2026)
par: Chen, Xinquan, et autres
Publié: (2026)
Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
par: Chen, Daoyuan, et autres
Publié: (2024)
par: Chen, Daoyuan, et autres
Publié: (2024)
AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
par: Luo, Xubin, et autres
Publié: (2026)
par: Luo, Xubin, et autres
Publié: (2026)
SkyServe: Serving AI Models across Regions and Clouds with Spot Instances
par: Mao, Ziming, et autres
Publié: (2024)
par: Mao, Ziming, et autres
Publié: (2024)
AI Factories: It's time to rethink the Cloud-HPC divide
par: Lopez, Pedro Garcia, et autres
Publié: (2025)
par: Lopez, Pedro Garcia, et autres
Publié: (2025)
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services
par: Patel, Dhavalkumar, et autres
Publié: (2024)
par: Patel, Dhavalkumar, et autres
Publié: (2024)
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
par: Shetty, Manish, et autres
Publié: (2024)
par: Shetty, Manish, et autres
Publié: (2024)
AI-Driven Cloud Resource Optimization for Multi-Cluster Environments
par: Punniyamoorthy, Vinoth, et autres
Publié: (2025)
par: Punniyamoorthy, Vinoth, et autres
Publié: (2025)
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
par: Cheng, Jialiang, et autres
Publié: (2024)
par: Cheng, Jialiang, et autres
Publié: (2024)
Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum
par: Li, Lanpei, et autres
Publié: (2025)
par: Li, Lanpei, et autres
Publié: (2025)
Scaling Performance of Large Language Model Pretraining
par: Interrante-Grant, Alexander, et autres
Publié: (2025)
par: Interrante-Grant, Alexander, et autres
Publié: (2025)
Why Do AI Agents Systematically Fail at Cloud Root Cause Analysis?
par: Kim, Taeyoon, et autres
Publié: (2026)
par: Kim, Taeyoon, et autres
Publié: (2026)
Keep Your Friends Close: Leveraging Affinity Groups to Accelerate AI Inference Workflows
par: Garrett, Thiago, et autres
Publié: (2023)
par: Garrett, Thiago, et autres
Publié: (2023)
The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science
par: Shin, Woong, et autres
Publié: (2025)
par: Shin, Woong, et autres
Publié: (2025)
Hierarchical Autoscaling for Large Language Model Serving with Chiron
par: Patke, Archit, et autres
Publié: (2025)
par: Patke, Archit, et autres
Publié: (2025)
Can Large Language Models Write Parallel Code?
par: Nichols, Daniel, et autres
Publié: (2024)
par: Nichols, Daniel, et autres
Publié: (2024)
Efficient Multi-Model Orchestration for Self-Hosted Large Language Models
par: Vangala, Bhanu Prakash, et autres
Publié: (2025)
par: Vangala, Bhanu Prakash, et autres
Publié: (2025)
HPC-Coder: Modeling Parallel Programs using Large Language Models
par: Nichols, Daniel, et autres
Publié: (2023)
par: Nichols, Daniel, et autres
Publié: (2023)
ECCENTRIC: Edge-Cloud Collaboration Framework for Distributed Inference Using Knowledge Adaptation
par: Kamani, Mohammad Mahdi, et autres
Publié: (2025)
par: Kamani, Mohammad Mahdi, et autres
Publié: (2025)
Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification
par: Ranjbar, Behnaz, et autres
Publié: (2026)
par: Ranjbar, Behnaz, et autres
Publié: (2026)
KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider
par: Wang, Jiahao, et autres
Publié: (2025)
par: Wang, Jiahao, et autres
Publié: (2025)
Large Language Model Partitioning for Low-Latency Inference at the Edge
par: Kafetzis, Dimitrios, et autres
Publié: (2025)
par: Kafetzis, Dimitrios, et autres
Publié: (2025)
Equinox: Holistic Fair Scheduling in Serving Large Language Models
par: Wei, Zhixiang, et autres
Publié: (2025)
par: Wei, Zhixiang, et autres
Publié: (2025)
Isambard-AI: a leadership class supercomputer optimised specifically for Artificial Intelligence
par: McIntosh-Smith, Simon, et autres
Publié: (2024)
par: McIntosh-Smith, Simon, et autres
Publié: (2024)
Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning
par: Xu, Lang, et autres
Publié: (2025)
par: Xu, Lang, et autres
Publié: (2025)
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
par: Li, Rui, et autres
Publié: (2025)
par: Li, Rui, et autres
Publié: (2025)
Accelerating Large Language Model Training with Hybrid GPU-based Compression
par: Xu, Lang, et autres
Publié: (2024)
par: Xu, Lang, et autres
Publié: (2024)
HPRM: High-Performance Robotic Middleware for Intelligent Autonomous Systems
par: Kwok, Jacky, et autres
Publié: (2024)
par: Kwok, Jacky, et autres
Publié: (2024)
Documents similaires
-
Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing
par: Ji, Cheng, et autres
Publié: (2025) -
The AI_INFN Platform: Artificial Intelligence Development in the Cloud
par: Anderlini, Lucio, et autres
Publié: (2025) -
AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
par: Heredia, Ignacio, et autres
Publié: (2025) -
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments
par: Jin, Yihong, et autres
Publié: (2025) -
Intelligent Autonomous Orchestration for Distributed Cloud Resources using Complex-Stability Analysis
par: Shyam, Gopal Krishna, et autres
Publié: (2026)