Tighter Lyapunov Truncation for Multi-Dimensional Continuous Time Markov Chains with Known Moments. - Gagan Somashekar; Mohammad Delasay; Anshul Gandhi (SIGMETRICS Perform. Evaluation Rev., 2019)

ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments. - Amoghavarsha Suresh; Gagan Somashekar; Anandh Varadarajan; Veerendra Ramesh Kakarla; Hima Upadhyay; Anshul Gandhi (ACSOS, 2020)

Towards Optimal Configuration of Microservices. - Gagan Somashekar; Anshul Gandhi (EuroMLSys@EuroSys, 2021)

Reducing the Tail Latency of Microservices Applications via Optimal Configuration Tuning. - Gagan Somashekar; Amoghavarsha Suresh; Saurabh Tyagi; Vikas Dhyani; Krishna Chaitanya Donkada; Anurag Pradhan; Anshul Gandhi (ACSOS, 2022)

Truncating Multi-Dimensional Markov Chains With Accuracy Guarantee. - Gagan Somashekar; Mohammad Delasay; Anshul Gandhi (MASCOTS, 2022)

B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks. - Gagan Somashekar; Anurag Dutt; Rohith Vaddavalli; Sai Bhargav Varanasi; Anshul Gandhi (ICPE (Companion), 2022)

Towards Performance Management of Large-Scale Microservices Applications. - Gagan Somashekar (ACSOS-C, 2023)

SelfTune: Tuning Cluster Managers. - Ajaykrishna Karthikeyan; Nagarajan Natarajan; Gagan Somashekar; Lei Zhao; Ranjita Bhagwan; Rodrigo Fonseca; Tatiana Racheva; Yogesh Bansal (NSDI, 2023)

Enhancing the Configuration Tuning Pipeline of Large-Scale Distributed Applications Using Large Language Models (Idea Paper). - Gagan Somashekar; Rajat Kumar (ICPE (Companion), 2023)

Efficient and accurate Lyapunov function-based truncation technique for multi-dimensional Markov chains with applications to discriminatory processor sharing and priority queues. - Gagan Somashekar; Mohammad Delasay; Anshul Gandhi (Perform. Evaluation, 2023)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles. - Manish Shetty; Yinfang Chen; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Xuchao Zhang; Jonathan Mace; Dax Vandevoorde; Pedro Henrique B. Las-Casas; Shachee Mishra Gupta; Suman Nath; Chetan Bansal; et al. (SoCC, 2024)

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy. - Gagan Somashekar; Karan Tandon; Anush Kini; Chieh-Chun Chang; Petr Husak; Ranjita Bhagwan; Mayukh Das; Anshul Gandhi; Nagarajan Natarajan (NSDI, 2024)

GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications. - Gagan Somashekar; Anurag Dutt; Mainak Adak; Tania Lorido-Botran; Anshul Gandhi (WWW, 2024)

Automated Service Design with Cerulean (Project Showcase). - Vaastav Anand; Alok Gautam Kumbhare; Celine Irvene; Chetan Bansal; Gagan Somashekar; Jonathan Mace; Pedro Henrique B. Las-Casas; Ricardo Bianchini; Rodrigo Fonseca (AIOps, 2025)

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. - Yinfang Chen; Manish Shetty; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Jonathan Mace; Chetan Bansal; Rujia Wang; Saravan Rajmohan (CoRR, 2025)

Intent-based System Design and Operation. - Vaastav Anand; Yichen Li; Alok Gautam Kumbhare; Celine Irvene; Chetan Bansal; Gagan Somashekar; Jonathan Mace; Pedro Henrique B. Las-Casas; Rodrigo Fonseca (CoRR, 2025)