Saravan Rajmohan

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

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

November 2024

Preprint

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

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

October 2024

Publication

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

October 2024

Preprint

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint

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

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

ACL 2024 | August 2024

Publication

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

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

July 2024

Preprint

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

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

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

March 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

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle

February 2024

Preprint

UFO: A UI-Focused Agent for Windows OS Interaction

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

February 2024

Publication

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

TaskWeaver: A Code-First Agent Framework

Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

December 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

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

DOI Publication Publication Project Project

STEAM: Observability-Preserving Trace Sampling

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

ESEC/FSE 2023 | November 2023

Publication Project Project

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

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

DOI Publication PDF Project Project

CONAN: Diagnosing Batch Failures for Cloud Systems

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2023 SEIP | May 2023

Publication Project

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

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

WWW '23 | April 2023

DOI

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda

WWW'23 Companion | April 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

An Empirical Study of Log Analysis at Microsoft

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维

2022 Foundations of Software Engineering (FSE) | November 2022

Publication Project Project

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 Project Project

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 Project Project

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Publication Project Project

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7

DOI Project Project

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

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

DOI Project Project

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

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

November 2024

Preprint

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

October 2024

Preprint

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

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

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint

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

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

ACL 2024 | 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

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

July 2024

Preprint

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

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

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

March 2024

Preprint

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle

February 2024

Preprint

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UFO: A UI-Focused Agent for Windows OS Interaction

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

February 2024

Publication

TaskWeaver: A Code-First Agent Framework

Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

December 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

STEAM: Observability-Preserving Trace Sampling

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

ESEC/FSE 2023 | November 2023

Publication Project Project

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

DOI Publication Publication Project Project

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

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

DOI Publication PDF Project Project

CONAN: Diagnosing Batch Failures for Cloud Systems

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2023 SEIP | May 2023

Publication Project

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

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

WWW '23 | April 2023

DOI

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda

WWW'23 Companion | April 2023

Publication

An Empirical Study of Log Analysis at Microsoft

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维

2022 Foundations of Software Engineering (FSE) | November 2022

Publication Project Project

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 Project Project

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Publication Project Project

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7

DOI Project Project

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

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

DOI Project Project

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

November 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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

STEAM: Observability-Preserving Trace Sampling

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

ESEC/FSE 2023 | November 2023

Publication Project Project

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

DOI Publication Publication Project Project

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

DOI Publication PDF Project Project

CONAN: Diagnosing Batch Failures for Cloud Systems

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2023 SEIP | May 2023

Publication Project

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

WWW '23 | April 2023

DOI

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda

WWW'23 Companion | April 2023

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 Project Project

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 Project Project

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Publication Project Project

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7

DOI Project Project

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

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

DOI Project Project

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

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

November 2024

Preprint

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

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

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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UFO: A UI-Focused Agent for Windows OS Interaction

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

February 2024

Publication

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

DOI Publication Publication Project Project

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

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

DOI Publication PDF Project Project

CONAN: Diagnosing Batch Failures for Cloud Systems

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2023 SEIP | May 2023

Publication Project

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

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 Project Project

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 Project Project

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Publication Project Project

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7

DOI Project Project

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

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

DOI Project Project

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

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

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

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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UFO: A UI-Focused Agent for Windows OS Interaction

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

February 2024

Publication

STEAM: Observability-Preserving Trace Sampling

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

ESEC/FSE 2023 | November 2023

Publication Project Project

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

DOI Publication Publication Project Project

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

DOI Publication PDF Project Project

CONAN: Diagnosing Batch Failures for Cloud Systems

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2023 SEIP | May 2023

Publication Project

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

An Empirical Study of Log Analysis at Microsoft

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维

2022 Foundations of Software Engineering (FSE) | November 2022

Publication Project Project

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 Project Project

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Publication Project Project

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7

DOI Project Project

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

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

DOI Project Project

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

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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

STEAM: Observability-Preserving Trace Sampling

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

ESEC/FSE 2023 | November 2023

Publication Project Project

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

DOI Publication Publication Project Project

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

DOI Publication PDF Project Project

CONAN: Diagnosing Batch Failures for Cloud Systems

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2023 SEIP | May 2023

Publication Project

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 Project Project

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 Project Project

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Publication Project Project

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7

DOI Project Project

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

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

DOI Project Project

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

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

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

October 2024

Preprint

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

July 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

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

March 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

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection

Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu

ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7

DOI Project Project

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

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

ACL 2024 | August 2024

Publication

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

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

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

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

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Publication Project Project

STEAM: Observability-Preserving Trace Sampling

Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

ESEC/FSE 2023 | November 2023

Publication Project Project

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ESEC/FSE 2023 | November 2023

DOI Publication Publication Project Project

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

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu

ICSE 2023 | May 2023

DOI Publication PDF Project Project

CONAN: Diagnosing Batch Failures for Cloud Systems

Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE 2023 SEIP | May 2023

Publication Project

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

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning

Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

WWW '23 | April 2023

DOI

Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda

WWW'23 Companion | April 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

An Empirical Study of Log Analysis at Microsoft

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维

2022 Foundations of Software Engineering (FSE) | November 2022

Publication Project Project

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 Project Project

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 Project Project

SPINE: A Scalable Log Parser with Feedback Guidance

Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

2022 Foundations of Software Engineering (FSE) | July 2022

SIGSOFT Distinguished Paper Award

Publication Project Project

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

UniParser: A Unified Log Parser for Heterogeneous Log Data

Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

TheWebConf 2022 | April 2022

DOI Project Project

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

November 2024

Preprint

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

October 2024

Publication

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle

February 2024

Preprint

UFO: A UI-Focused Agent for Windows OS Interaction

Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

February 2024

Publication

TaskWeaver: A Code-First Agent Framework

Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

December 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

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

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