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Systems Innovation

Algorithmic and hardware innovation for efficient, reliable, and sustainable cloud services and infrastructure at scale

Publications

Afficher par:

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

August 2024

Preprint

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | August 2024

Publication

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

X-lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang

Foundations of Software Engineering (FSE) | July 2024

DOI Publication

Designing Cloud Servers for Lower Carbon

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

ISCA | June 2024

Publication

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

ISCA | June 2024

Publication

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

Dependency Aware Incident Linking in Large Cloud Systems

Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

The Web Conference (WWW) | May 2024

Publication

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

Published by Arxiv | May 2024, Vol abs/2405.07250

Publication

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

April 2024

Preprint

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie

TheWebConf’24 | February 2024

DOI Publication
NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ArXiv | November 2023, Vol abs/2311.04254

DOI Publication Publication

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang

DSN | June 2023

Publication

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023

Publication
AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication
HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet
WhoDo: Automating Reviewer Suggestions at Scale

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok

ESEC/FSE 2019 | August 2019

Publication Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet
Orca: Differential Bug Localization in Large-Scale Services

Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip

13th USENIX Symposium on Operating Systems Design and Implementation | October 2018

Won the Jay Lepreau Best Paper Award

Publication Projet

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

August 2024

Preprint

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

X-lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang

Foundations of Software Engineering (FSE) | July 2024

DOI Publication

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

Dependency Aware Incident Linking in Large Cloud Systems

Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

The Web Conference (WWW) | May 2024

Publication

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

Published by Arxiv | May 2024, Vol abs/2405.07250

Publication

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

April 2024

Preprint

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ArXiv | November 2023, Vol abs/2311.04254

DOI Publication Publication

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet
Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

August 2024

Preprint

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | August 2024

Publication

Designing Cloud Servers for Lower Carbon

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

ISCA | June 2024

Publication

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

ISCA | June 2024

Publication

Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

Published by Arxiv | May 2024, Vol abs/2405.07250

Publication

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang

DSN | June 2023

Publication

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet

Orca: Differential Bug Localization in Large-Scale Services

Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip

13th USENIX Symposium on Operating Systems Design and Implementation | October 2018

Won the Jay Lepreau Best Paper Award

Publication Projet
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie

TheWebConf’24 | February 2024

DOI Publication

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet
Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet

WhoDo: Automating Reviewer Suggestions at Scale

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok

ESEC/FSE 2019 | August 2019

Publication Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

April 2024

Preprint

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ArXiv | November 2023, Vol abs/2311.04254

DOI Publication Publication

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

August 2024

Preprint

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

Published by Arxiv | May 2024, Vol abs/2405.07250

Publication
Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | August 2024

Publication

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

X-lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang

Foundations of Software Engineering (FSE) | July 2024

DOI Publication

Designing Cloud Servers for Lower Carbon

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

ISCA | June 2024

Publication

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

ISCA | June 2024

Publication

Dependency Aware Incident Linking in Large Cloud Systems

Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

The Web Conference (WWW) | May 2024

Publication

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie

TheWebConf’24 | February 2024

DOI Publication

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang

DSN | June 2023

Publication

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet

DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet

WhoDo: Automating Reviewer Suggestions at Scale

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok

ESEC/FSE 2019 | August 2019

Publication Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet

Orca: Differential Bug Localization in Large-Scale Services

Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip

13th USENIX Symposium on Operating Systems Design and Implementation | October 2018

Won the Jay Lepreau Best Paper Award

Publication Projet
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication