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
Supriyo GHOSH
Senior Researcher
Publications
Publications by Year
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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
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
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
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Detection Is Better Than Cure: A Cloud Incidents Perspective
A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
Deep offline reinforcement learning for real-world treatment optimization applications
Mila Nambiar, Supriyo GHOSH, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
Knowledge Discovery and Data Mining (KDD) [Applied Data Science Track] | August 2023
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
-
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
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
Supriyo GHOSH, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Uncertainty in Artificial Intelligence (UAI) | July 2022
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services.
Amar Prakash Azad, Supriyo GHOSH, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern
Innovative Applications in Artificial Intelligence (IAAI), AAAI | February 2022
An iterative security game for computing robust and adaptive network flows
Supriyo GHOSH, Patrick Jaillet
Computers & Operations Research Journal (CAOR) | February 2022, Vol 138: pp. 105558
-
A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control
Supriyo GHOSH, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
International Conference on Automated Planning and Scheduling (ICAPS) | May 2021
-
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning
Supriyo GHOSH, Jing Yu Koh, Patrick Jaillet
International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
-
Dispatch guided allocation optimization for effective emergency response
Supriyo GHOSH, Pradeep Varakantham
National Conference on Artificial Intelligence (AAAI) | January 2018
Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems.
Muralidhar Konda Konda, Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | January 2018
-
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
Journal of Artificial Intelligence Research (JAIR) | February 2017, Vol 58: pp. 387-430
Incentivizing the use of bike trailers for dynamic repositioning in bike sharing systems
Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | January 2017
Online repositioning in bike sharing systems
Meghna Lowalekar, Pradeep Varakantham, Supriyo GHOSH, Sanjay Dominic Jena, Patrick Jaillet
International Conference on Automated Planning and Scheduling (ICAPS) | January 2017
-
Robust repositioning to counter unpredictable demand in bike sharing systems
Supriyo GHOSH, Michael Trick, Pradeep Varakantham
International Joint Conference on Artificial Intelligence (IJCAI) | July 2016
Strategic planning for setting up base stations in Emergency Medical Systems
Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | June 2016
-
Probabilistic inference based message-passing for resource constrained DCOPs
Supriyo GHOSH, Akshat Kumar, Pradeep Varakantham
International Joint Conference on Artificial Intelligence (IJCAI) | July 2015
Dynamic redeployment to counter congestion or starvation in vehicle sharing systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
International Conference on Automated Planning and Scheduling (ICAPS) | June 2015
Publications by Research Area
-
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
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
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
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
Detection Is Better Than Cure: A Cloud Incidents Perspective
A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
Deep offline reinforcement learning for real-world treatment optimization applications
Mila Nambiar, Supriyo GHOSH, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
Knowledge Discovery and Data Mining (KDD) [Applied Data Science Track] | August 2023
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
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
Supriyo GHOSH, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Uncertainty in Artificial Intelligence (UAI) | July 2022
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services.
Amar Prakash Azad, Supriyo GHOSH, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern
Innovative Applications in Artificial Intelligence (IAAI), AAAI | February 2022
An iterative security game for computing robust and adaptive network flows
Supriyo GHOSH, Patrick Jaillet
Computers & Operations Research Journal (CAOR) | February 2022, Vol 138: pp. 105558
A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control
Supriyo GHOSH, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
International Conference on Automated Planning and Scheduling (ICAPS) | May 2021
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning
Supriyo GHOSH, Jing Yu Koh, Patrick Jaillet
International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems.
Muralidhar Konda Konda, Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | January 2018
Dispatch guided allocation optimization for effective emergency response
Supriyo GHOSH, Pradeep Varakantham
National Conference on Artificial Intelligence (AAAI) | January 2018
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
Journal of Artificial Intelligence Research (JAIR) | February 2017, Vol 58: pp. 387-430
Online repositioning in bike sharing systems
Meghna Lowalekar, Pradeep Varakantham, Supriyo GHOSH, Sanjay Dominic Jena, Patrick Jaillet
International Conference on Automated Planning and Scheduling (ICAPS) | January 2017
Incentivizing the use of bike trailers for dynamic repositioning in bike sharing systems
Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | January 2017
Robust repositioning to counter unpredictable demand in bike sharing systems
Supriyo GHOSH, Michael Trick, Pradeep Varakantham
International Joint Conference on Artificial Intelligence (IJCAI) | July 2016
Strategic planning for setting up base stations in Emergency Medical Systems
Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | June 2016
Probabilistic inference based message-passing for resource constrained DCOPs
Supriyo GHOSH, Akshat Kumar, Pradeep Varakantham
International Joint Conference on Artificial Intelligence (IJCAI) | July 2015
Dynamic redeployment to counter congestion or starvation in vehicle sharing systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
International Conference on Automated Planning and Scheduling (ICAPS) | June 2015
-
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
An iterative security game for computing robust and adaptive network flows
Supriyo GHOSH, Patrick Jaillet
Computers & Operations Research Journal (CAOR) | February 2022, Vol 138: pp. 105558
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
Journal of Artificial Intelligence Research (JAIR) | February 2017, Vol 58: pp. 387-430
-
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
-
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
Detection Is Better Than Cure: A Cloud Incidents Perspective
A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
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
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
-
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
Detection Is Better Than Cure: A Cloud Incidents Perspective
A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
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
-
Deep offline reinforcement learning for real-world treatment optimization applications
Mila Nambiar, Supriyo GHOSH, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
Knowledge Discovery and Data Mining (KDD) [Applied Data Science Track] | August 2023
-
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
-
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
Journal of Artificial Intelligence Research (JAIR) | February 2017, Vol 58: pp. 387-430
-
An iterative security game for computing robust and adaptive network flows
Supriyo GHOSH, Patrick Jaillet
Computers & Operations Research Journal (CAOR) | February 2022, Vol 138: pp. 105558
Publications by Type
-
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
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
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
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
Detection Is Better Than Cure: A Cloud Incidents Perspective
A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra
ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023
Deep offline reinforcement learning for real-world treatment optimization applications
Mila Nambiar, Supriyo GHOSH, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
Knowledge Discovery and Data Mining (KDD) [Applied Data Science Track] | August 2023
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
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
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
Supriyo GHOSH, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
Uncertainty in Artificial Intelligence (UAI) | July 2022
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services.
Amar Prakash Azad, Supriyo GHOSH, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern
Innovative Applications in Artificial Intelligence (IAAI), AAAI | February 2022
A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control
Supriyo GHOSH, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
International Conference on Automated Planning and Scheduling (ICAPS) | May 2021
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning
Supriyo GHOSH, Jing Yu Koh, Patrick Jaillet
International Joint Conference on Artificial Intelligence (IJCAI) | August 2019
Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems.
Muralidhar Konda Konda, Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | January 2018
Dispatch guided allocation optimization for effective emergency response
Supriyo GHOSH, Pradeep Varakantham
National Conference on Artificial Intelligence (AAAI) | January 2018
Online repositioning in bike sharing systems
Meghna Lowalekar, Pradeep Varakantham, Supriyo GHOSH, Sanjay Dominic Jena, Patrick Jaillet
International Conference on Automated Planning and Scheduling (ICAPS) | January 2017
Incentivizing the use of bike trailers for dynamic repositioning in bike sharing systems
Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | January 2017
Robust repositioning to counter unpredictable demand in bike sharing systems
Supriyo GHOSH, Michael Trick, Pradeep Varakantham
International Joint Conference on Artificial Intelligence (IJCAI) | July 2016
Strategic planning for setting up base stations in Emergency Medical Systems
Supriyo GHOSH, Pradeep Varakantham
International Conference on Automated Planning and Scheduling (ICAPS) | June 2016
Probabilistic inference based message-passing for resource constrained DCOPs
Supriyo GHOSH, Akshat Kumar, Pradeep Varakantham
International Joint Conference on Artificial Intelligence (IJCAI) | July 2015
Dynamic redeployment to counter congestion or starvation in vehicle sharing systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
International Conference on Automated Planning and Scheduling (ICAPS) | June 2015
-
An iterative security game for computing robust and adaptive network flows
Supriyo GHOSH, Patrick Jaillet
Computers & Operations Research Journal (CAOR) | February 2022, Vol 138: pp. 105558
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
Supriyo GHOSH, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
Journal of Artificial Intelligence Research (JAIR) | February 2017, Vol 58: pp. 387-430