Gagan Somashekar

According to our database, Gagan Somashekar authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications.

Gagan Somashekar, Anurag Dutt, Mainak Adak, Tania Lorido-Botran, Anshul Gandhi

Proceedings of the ACM on Web Conference 2024, 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

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

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 Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

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, November, 2023

Enhancing the Configuration Tuning Pipeline of Large-Scale Distributed Applications Using Large Language Models (Idea Paper).

Gagan Somashekar, Rajat Kumar

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

SelfTune: Tuning Cluster Managers.

Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Towards Performance Management of Large-Scale Microservices Applications.

Gagan Somashekar

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks.

Gagan Somashekar, Anurag Dutt, Rohith Vaddavalli, Sai Bhargav Varanasi, Anshul Gandhi

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Truncating Multi-Dimensional Markov Chains With Accuracy Guarantee.

Gagan Somashekar, Mohammad Delasay, Anshul Gandhi

Proceedings of the 30th International Symposium on Modeling, 2022

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

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022

2021

Towards Optimal Configuration of Microservices.

Gagan Somashekar, Anshul Gandhi

Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020

ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments.

Amoghavarsha Suresh, Gagan Somashekar, Anandh Varadarajan, Veerendra Ramesh Kakarla, Hima Upadhyay, Anshul Gandhi

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

Tighter Lyapunov Truncation for Multi-Dimensional Continuous Time Markov Chains with Known Moments.

Gagan Somashekar, Mohammad Delasay, Anshul Gandhi

SIGMETRICS Perform. Evaluation Rev., 2019