Anjaly Parayil

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

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

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 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

Detection Is Better Than Cure: A Cloud Incidents Perspective

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

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

Publication

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

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

DSN | June 2023

Publication

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces

Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian Sadler, Pratap Tokekar, Alec Koppel

ICML 2022 | July 2022

Publication

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control.

A. Parayil, A. S. Bedi* (equal contribution), J. Zhang, M. Wang, A. Koppel

December 2021

Decentralized Langevin Dynamics for Bayesian Learning

A. Parayil, He Bai, J. George, P. Gurram

2020 Neural Information Processing Systems | January 2020

PDF Publication 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

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

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 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

Detection Is Better Than Cure: A Cloud Incidents Perspective

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

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

Publication

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces

Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian Sadler, Pratap Tokekar, Alec Koppel

ICML 2022 | July 2022

Publication

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control.

A. Parayil, A. S. Bedi* (equal contribution), J. Zhang, M. Wang, A. Koppel

December 2021

Decentralized Langevin Dynamics for Bayesian Learning

A. Parayil, He Bai, J. George, P. Gurram

2020 Neural Information Processing Systems | January 2020

PDF Publication 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

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

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

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

Preprint

Detection Is Better Than Cure: A Cloud Incidents Perspective

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

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

Publication

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

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

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

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

Preprint

Detection Is Better Than Cure: A Cloud Incidents Perspective

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

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

Publication

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control.

A. Parayil, A. S. Bedi* (equal contribution), J. Zhang, M. Wang, A. Koppel

December 2021

Decentralized Langevin Dynamics for Bayesian Learning

A. Parayil, He Bai, J. George, P. Gurram

2020 Neural Information Processing Systems | January 2020

PDF Publication Publication 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

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

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

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

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

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

Preprint

Detection Is Better Than Cure: A Cloud Incidents Perspective

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

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

Publication

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

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces

Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian Sadler, Pratap Tokekar, Alec Koppel

ICML 2022 | July 2022

Publication

Decentralized Langevin Dynamics for Bayesian Learning

A. Parayil, He Bai, J. George, P. Gurram

2020 Neural Information Processing Systems | January 2020

PDF Publication Publication Publication

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control.

A. Parayil, A. S. Bedi* (equal contribution), J. Zhang, M. Wang, A. Koppel

December 2021