Cloud Uptime Archive: Open-Access Availability Data of Web, Cloud, and Gaming Services
IEEE Transactions on Parallel and Distributed Systems (TPDS)
Xiaoyu Chu
Ph.D. student, Vrije University Amsterdam
Research Focus
System Modeling and Analysis, Operational Data Analytics, Datacenter Ontology, LLMxHPC
Contact
Links
Publications
Supervised
Talks
Publications
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Leveraging LLMs for Structured Information Extraction and Analysis from Cloud Incident Reports (Work In Progress Paper)
17th ACM/SPEC International Conference on Performance Engineering (ICPE 2026)
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FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents
8th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2025)
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An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
16th ACM/SPEC International Conference on Performance Engineering (ICPE 2025)
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Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
The 30th International Conference on Parallel and Distributed Systems (ICPADS 2024)
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Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based Prediction
The Second Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems (GraphSys 2024)
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How Do ML Jobs Fail in Datacenters? Analysis of a Long-Term Dataset from an HPC Cluster
The 6th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2023)
PDF
Cite
PDF
Cite
Leveraging LLMs for Structured Information Extraction and Analysis from Cloud Incident Reports (Work In Progress Paper)
17th ACM/SPEC International Conference on Performance Engineering (ICPE 2026)
PDF
Cite
FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents
8th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2025)
PDF
Cite
An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
16th ACM/SPEC International Conference on Performance Engineering (ICPE 2025)
PDF
Cite
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
The 30th International Conference on Parallel and Distributed Systems (ICPADS 2024)
PDF
Cite
Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based Prediction
The Second Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems (GraphSys 2024)
PDF
Cite
How Do ML Jobs Fail in Datacenters? Analysis of a Long-Term Dataset from an HPC Cluster
The 6th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2023)
PDF
Cite
Supervised Master Theses
Understanding Service Reliability of Large Language Models: An Empirical Characterization on Operator and User Reports
Operational Analysis of OpenAI Services Using Self-Reported Outages and Incidents
'ODAbler': Design and Evaluation of an Operational Data Analytics Framework for Energy-efficient management of Workloads in a Data Centre Simulator OpenDC
Characterization and Modelling of Resource Usage and Energy Consumption in HPC Datacenters by Machine Learning
Data Characterization and Anomaly Detection for HPC Datacenters Using Machine Learning
Understanding Service Reliability of Large Language Models: An Empirical Characterization on Operator and User Reports
Operational Analysis of OpenAI Services Using Self-Reported Outages and Incidents
'ODAbler': Design and Evaluation of an Operational Data Analytics Framework for Energy-efficient management of Workloads in a Data Centre Simulator OpenDC
Characterization and Modelling of Resource Usage and Energy Consumption in HPC Datacenters by Machine Learning
Data Characterization and Anomaly Detection for HPC Datacenters Using Machine Learning
Supervised Bachelor Theses
DataViz: A Business Data Visualization System Using LLMs
Enhancing Operational Data Synthesis and Predictive Analysis in HPC Clusters Using Large Language Models
DataViz: A Business Data Visualization System Using LLMs
Enhancing Operational Data Synthesis and Predictive Analysis in HPC Clusters Using Large Language Models
Talks
Leveraging LLMs for Structured Information Extraction and Analysis from Cloud Incident Reports (Work In Progress Paper)
ICPE'26, Florence, Italy, May 8, 2026
An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
ICPE'25, Virtual, Toronto, Canada, May 7, 2025
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
ICPADS'24, Belgrade, Serbia, October 12, 2024
How Do ML Jobs Fail in Datacenters? Analysis of a Long-Term Dataset from an HPC Cluster
HotCloudPerf'23, Coimbra, Portugal, April 16, 2023
Leveraging LLMs for Structured Information Extraction and Analysis from Cloud Incident Reports (Work In Progress Paper)
ICPE'26, Florence, Italy, May 8, 2026
An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models
ICPE'25, Virtual, Toronto, Canada, May 7, 2025
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
ICPADS'24, Belgrade, Serbia, October 12, 2024
How Do ML Jobs Fail in Datacenters? Analysis of a Long-Term Dataset from an HPC Cluster
HotCloudPerf'23, Coimbra, Portugal, April 16, 2023