Chetan Bansal

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

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era

Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

November 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

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

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

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication 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

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

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

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

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure

Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang

2023 USENIX Annual Technical Conference | July 2023

Publication 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

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 Project

Characterizing the Usage of CI Tools in ML Projects

Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan

ESEM 2022 | September 2022

Publication

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 Project

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

Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

2021 Knowledge Discovery and Data Mining | August 2021

Publication Publication Project Project

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

Search4Code: Code Search Intent Classification Using Weak Supervision

Nikitha Rao, Chetan Bansal, Joe Guan

Mining Software Repositories (MSR '21) | May 2021

PDF

Analyzing Web Search Behavior for Software Engineering Tasks

Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan

IEEE BigData | December 2020

PDF

Product Insights: Analyzing Product Intents in Web Search

Nikitha Rao, Chetan Bansal, Subhabrata (Subho) Mukherjee, Chandra Maddila

CIKM 2020 | October 2020

Publication

Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes

Song Wang, Chetan Bansal, Nachi Nagappan

Information and Software Technology | September 2020

Publication

An Empirical Study of Software Exceptions in the Field using Search Logs

Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah

ESEM 2020 | July 2020

Publication

Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost

Shuvendu Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal

FMCAD | July 2020

Best paper award

Publication Video Project Project

Studying Ransomware Attacks Using Web Search Logs

Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao

SIGIR 2020 | July 2020

Publication

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 Project

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 Project

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes

Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip

PROMISE 2019 | September 2019

Publication Project

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 Project

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 Project

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 Project

Hashtag Recommendation for Enterprise Applications

Dhruv Mahajan , Vishwajit Kolathur , Chetan Bansal, Sundararajan Sellamanickam, Johannes Gehrke, Sathiya Keerthi , Suresh Parthasarathy

CIKM | October 2016

Publication

CloudSDV: Enabling Static Driver Verifier using Microsoft Azure

Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal

IFM 2016 Proceedings of the 12th International Conference on Integrated Formal Methods | June 2016

ISBN: 978-3-319-33692-3

Publication Publication

Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing

Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling

IFIP International Information Security Conference | May 2015

Publication Publication

Discovering concrete attacks on website authorization by formal analysis

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

Journal of Computer Security | July 2014, Vol 22: pp. 601-657

Publication Publication

Massively Empowered Classroom: Enhancing Technical Education in India

Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies

MSR-TR-2013-127 | December 2013

Publication

Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

2nd Conference on Principles of Security and Trust (POST 2013) | January 2013

Publication

Discovering Concrete Attacks on Website Authorization by Formal Analysis

Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis

25th IEEE Computer Security Foundations Symposium (CSF'12) | June 2012

Publication 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

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era

Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

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

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

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 Project

Characterizing the Usage of CI Tools in ML Projects

Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan

ESEM 2022 | September 2022

Publication

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 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

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

Search4Code: Code Search Intent Classification Using Weak Supervision

Nikitha Rao, Chetan Bansal, Joe Guan

Mining Software Repositories (MSR '21) | May 2021

PDF

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

Analyzing Web Search Behavior for Software Engineering Tasks

Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan

IEEE BigData | December 2020

PDF

Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes

Song Wang, Chetan Bansal, Nachi Nagappan

Information and Software Technology | September 2020

Publication

An Empirical Study of Software Exceptions in the Field using Search Logs

Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah

ESEM 2020 | July 2020

Publication

Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost

Shuvendu Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal

FMCAD | July 2020

Best paper award

Publication Video Project Project

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 Project

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 Project

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes

Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip

PROMISE 2019 | September 2019

Publication Project

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 Project

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 Project

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 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

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

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

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication 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

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

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

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 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

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

Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

2021 Knowledge Discovery and Data Mining | August 2021

Publication Publication Project Project

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

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 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

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

CloudSDV: Enabling Static Driver Verifier using Microsoft Azure

Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal

IFM 2016 Proceedings of the 12th International Conference on Integrated Formal Methods | June 2016

ISBN: 978-3-319-33692-3

Publication 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

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

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

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

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

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

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure

Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang

2023 USENIX Annual Technical Conference | July 2023

Publication 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

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 Project

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 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

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 Project

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 Project

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 Project

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication 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

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

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

Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

2021 Knowledge Discovery and Data Mining | August 2021

Publication Publication Project Project

Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

2021 Knowledge Discovery and Data Mining | August 2021

Publication Publication Project Project

Massively Empowered Classroom: Enhancing Technical Education in India

Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies

MSR-TR-2013-127 | December 2013

Publication

Analyzing Web Search Behavior for Software Engineering Tasks

Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan

IEEE BigData | December 2020

PDF

Product Insights: Analyzing Product Intents in Web Search

Nikitha Rao, Chetan Bansal, Subhabrata (Subho) Mukherjee, Chandra Maddila

CIKM 2020 | October 2020

Publication

Studying Ransomware Attacks Using Web Search Logs

Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao

SIGIR 2020 | July 2020

Publication

An Empirical Study of Software Exceptions in the Field using Search Logs

Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah

ESEM 2020 | July 2020

Publication

Hashtag Recommendation for Enterprise Applications

Dhruv Mahajan , Vishwajit Kolathur , Chetan Bansal, Sundararajan Sellamanickam, Johannes Gehrke, Sathiya Keerthi , Suresh Parthasarathy

CIKM | October 2016

Publication

Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing

Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling

IFIP International Information Security Conference | May 2015

Publication Publication

Discovering concrete attacks on website authorization by formal analysis

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

Journal of Computer Security | July 2014, Vol 22: pp. 601-657

Publication Publication

Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

2nd Conference on Principles of Security and Trust (POST 2013) | January 2013

Publication

Discovering Concrete Attacks on Website Authorization by Formal Analysis

Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis

25th IEEE Computer Security Foundations Symposium (CSF'12) | June 2012

Publication Publication

Massively Empowered Classroom: Enhancing Technical Education in India

Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies

MSR-TR-2013-127 | December 2013

Publication

Massively Empowered Classroom: Enhancing Technical Education in India

Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies

MSR-TR-2013-127 | December 2013

Publication

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era

Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

November 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

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

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

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

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

Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes

Song Wang, Chetan Bansal, Nachi Nagappan

Information and Software Technology | September 2020

Publication

Discovering concrete attacks on website authorization by formal analysis

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

Journal of Computer Security | July 2014, Vol 22: pp. 601-657

Publication 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

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication 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

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

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure

Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang

2023 USENIX Annual Technical Conference | July 2023

Publication 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

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 Project

Characterizing the Usage of CI Tools in ML Projects

Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan

ESEM 2022 | September 2022

Publication

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 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

Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

2021 Knowledge Discovery and Data Mining | August 2021

Publication Publication Project Project

Search4Code: Code Search Intent Classification Using Weak Supervision

Nikitha Rao, Chetan Bansal, Joe Guan

Mining Software Repositories (MSR '21) | May 2021

PDF

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

Analyzing Web Search Behavior for Software Engineering Tasks

Nikitha Rao, Chetan Bansal, Tom Zimmermann, Ahmed Awadallah, Nachi Nagappan

IEEE BigData | December 2020

PDF

Product Insights: Analyzing Product Intents in Web Search

Nikitha Rao, Chetan Bansal, Subhabrata (Subho) Mukherjee, Chandra Maddila

CIKM 2020 | October 2020

Publication

Studying Ransomware Attacks Using Web Search Logs

Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao

SIGIR 2020 | July 2020

Publication

An Empirical Study of Software Exceptions in the Field using Search Logs

Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah

ESEM 2020 | July 2020

Publication

Angelic Checking within Static Driver Verifier: Towards high-precision defects without (modeling) cost

Shuvendu Lahiri, Akash Lal, Sridhar Gopinath, Alexander Nutz, Vladimir Levin, Rahul Kumar, Nate Deisinger, Jakob Lichtenberg, Chetan Bansal

FMCAD | July 2020

Best paper award

Publication Video Project Project

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 Project

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 Project

Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes

Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip

PROMISE 2019 | September 2019

Publication Project

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 Project

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 Project

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 Project

Hashtag Recommendation for Enterprise Applications

Dhruv Mahajan , Vishwajit Kolathur , Chetan Bansal, Sundararajan Sellamanickam, Johannes Gehrke, Sathiya Keerthi , Suresh Parthasarathy

CIKM | October 2016

Publication

CloudSDV: Enabling Static Driver Verifier using Microsoft Azure

Rahul Kumar, Thomas Ball, Jakob Lichtenberg, Nate Deisinger, Apoorv Upreti, Chetan Bansal

IFM 2016 Proceedings of the 12th International Conference on Integrated Formal Methods | June 2016

ISBN: 978-3-319-33692-3

Publication Publication

Cache Timing Attacks Revisited: Efficient and Repeatable Browser History, OS and Network Sniffing

Chetan Bansal, Sören Preibusch, Natasa Milic-Frayling

IFIP International Information Security Conference | May 2015

Publication Publication

Keys to the Cloud: Formal Analysis and Concrete Attacks on Encrypted Web Storage

Chetan Bansal, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Sergio Maffeis

2nd Conference on Principles of Security and Trust (POST 2013) | January 2013

Publication

Discovering Concrete Attacks on Website Authorization by Formal Analysis

Chetan Bansal, Karthikeyan Bhargavan, Sergio Maffeis

25th IEEE Computer Security Foundations Symposium (CSF'12) | June 2012

Publication 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

Massively Empowered Classroom: Enhancing Technical Education in India

Ed Cutrell, Srinath Bala, Chetan Bansal, Andrew Cross, Naren Datha, Aldo John, Rahul Kumar, Madhusudan Parthasarathy, Siddharth Prakash, Sriram Rajamani, Bill Thies

MSR-TR-2013-127 | December 2013

Publication