Murali Chintalapati

Orcid: 0009-0006-2712-1111

According to our database1, Murali Chintalapati authored at least 22 papers between 2017 and 2024.

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Bibliography

2024
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction.
CoRR, 2024

Large Language Models Can Provide Accurate and Interpretable Incident Triage.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

2022
RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021
Onion: identifying incident-indicating logs for cloud systems.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
Breaking hypothesis testing for failure rates.
CoRR, 2020

Efficient incident identification from multi-dimensional issue reports via meta-heuristic search.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure.
Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

2019
Annual Interruption Rate as a KPI, its measurement and comparison.
CoRR, 2019

Cross-dataset Time Series Anomaly Detection for Cloud Systems.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Robust log-based anomaly detection on unstable log data.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Neural Feature Search: A Neural Architecture for Automated Feature Engineering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Improving Service Availability of Cloud Systems by Predicting Disk Error.
Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Predicting Node failure in cloud service systems.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure.
Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

2017
Gray Failure: The Achilles' Heel of Cloud-Scale Systems.
Proceedings of the 16th Workshop on Hot Topics in Operating Systems, 2017


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