Anjaly Parayil

According to our database, Anjaly Parayil authored at least 33 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

XWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms.

Tella Rajashekhar Reddy, Atharva Deshmukh, Liangcheng Yu, Chaojie Zhang, Mike Shepperd, Rohan Gandhi, Anjaly Parayil, Srinivasan Iyengar, Ajay Manchepalli, Debopam Bhattacherjee

CoRR, May, 2026

A Holistic Framework for Automated Configuration Recommendation for Cloud Service Monitoring.

Anson Bastos, Shreeya Venneti, Anjaly Parayil, Ayush Choure, Chetan Bansal, Rujia Wang

CoRR, March, 2026

Sutradhara: An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference.

Anish Biswas, Kanishk Goel, Jayashree Mohan, Alind Khare, Anjaly Parayil, Ramachandran Ramjee, Chetan Bansal

CoRR, January, 2026

SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling.

Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

Proceedings of the Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2026

2025

Serving Heterogeneous LoRA Adapters in Distributed LLM Inference Systems.

Shashwat Jaiswal, Shrikara Arun, Anjaly Parayil, Ankur Mallick, Spyros Mastorakis, Alind Khare, Chloe Alverti, Renée St. Amant, Chetan Bansal, Victor Rühle, Josep Torrellas

CoRR, November, 2025

Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems.

Fiza Hussain, Anson Bastos, Anjaly Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan

CoRR, October, 2025

BeLLMan: Controlling LLM Congestion.

Tella Rajashekhar Reddy, Atharva Deshmukh, Karan Tandon, Rohan Gandhi, Anjaly Parayil, Debopam Bhattacherjee

CoRR, October, 2025

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron.

Tella Rajashekhar Reddy, Palak, Rohan Gandhi, Anjaly Parayil, Chaojie Zhang, Mike Shepperd, Liangcheng Yu, Jayashree Mohan, Srinivasan Iyengar, Shivkumar Kalyanaraman, Debopam Bhattacherjee

CoRR, May, 2025

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale.

Shashwat Jaiswal, Kunal Jain, Yogesh Simmhan, Anjaly Parayil, Ankur Mallick, Rujia Wang, Renée St. Amant, Chetan Bansal, Victor Rühle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

CoRR, February, 2025

Towards Workload-aware Cloud Efficiency: A Large-scale Empirical Study of Cloud Workload Characteristics.

Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal

Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering, 2025

Workload Intelligence: Workload-Aware IaaS abstraction for Cloud Efficiency.

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

Proceedings of the International Conference for High Performance Computing, 2025

Performance Aware LLM Load Balancer for Mixed Workloads.

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

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

2024

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

Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel

J. Mach. Learn. Res., 2024

Ensuring Fair LLM Serving Amid Diverse Applications.

Redwan Ibne Seraj Khan, Kunal Jain, Haiying Shen, Ankur Mallick, Anjaly Parayil, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Renée St. Amant, Rujia Wang, Yue Cheng, Ali Raza Butt, Victor Rühle, Chetan Bansal, Saravan Rajmohan

CoRR, 2024

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC.

Aditya Soni, Mayukh Das, Anjaly Parayil, Supriyo Ghosh, Shivam Shandilya, Ching-An Cheng, Vishak Gopal, Sami Khairy, Gabriel Mittag, Yasaman Hosseinkashi, Chetan Bansal

CoRR, 2024

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

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

CoRR, 2024

Towards Cloud Efficiency with Large-scale Workload Characterization.

Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal

CoRR, 2024

Workload Intelligence: Punching Holes Through the Cloud Abstraction.

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

CoRR, 2024

X-Lifecycle Learning for Cloud Incident Management using LLMs.

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

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

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

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2023

Detection Is Better Than Cure: A Cloud Incidents Perspective.

Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

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

Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

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

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

Proceedings of the International Conference on Machine Learning, 2022

2021

Joint Position and Beamforming Control via Alternating Nonlinear Least-Squares with a Hierarchical Gamma Prior.

Anjaly Parayil, Amrit Singh Bedi, Alec Koppel

Proceedings of the 2021 American Control Conference, 2021

2020

A Decentralized Approach to Bayesian Learning.

Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram

CoRR, 2020

Decentralized Langevin Dynamics for Bayesian Learning.

Anjaly Parayil, He Bai, Jemin George, Prudhvi Gurram

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distributed Tracking and Circumnavigation Using Bearing Measurements.

Anjaly Parayil, Jemin George

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Model-Free Approach to Distributed Transmit Beamforming.

Jemin George, Cemal Tugrul Yilmaz, Anjaly Parayil, Aranya Chakrabortty

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

To beam or not to beam? Beamforming with submodularity-inspired group sparsity.

Tzanis Anevlavis, Jonathan Bunton, Anjaly Parayil, Jemin George, Paulo Tabuada

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Multi-Agent Coordination for Distributed Transmit Beamforming.

Jemin George, Anjaly Parayil, Cemal Tugrul Yilmaz, Bethany L. Allik, He Bai, Aranya Chakrabortty

Proceedings of the 2020 American Control Conference, 2020

2019

Cooperative Beam-Rider Guidance for Unmanned Aerial Vehicle Rendezvous.

Anjaly Parayil, Ashwini Ratnoo

J. Intell. Robotic Syst., 2019

Bifurcation-Based Control Law for Pattern Generation.

Anjaly Parayil, Ashwini Ratnoo

IEEE Control. Syst. Lett., 2019

Multi-Agent Coordination for Distributed Transmit Beamforming.

Jemin George, Anjaly Parayil, He Bai

CoRR, 2019