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Gagan Somashekar
Gagan Somashekar
Senior Researcher at Microsoft
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Ensure: Efficient scheduling and autonomous resource management in serverless environments
A Suresh, G Somashekar, A Varadarajan, VR Kakarla, H Upadhyay, ...
2020 IEEE International Conference on Autonomic Computing and Self …, 2020
932020
Towards optimal configuration of microservices
G Somashekar, A Gandhi
Proceedings of the 1st Workshop on Machine Learning and Systems, 7-14, 2021
242021
{SelfTune}: Tuning Cluster Managers
A Karthikeyan, N Natarajan, G Somashekar, L Zhao, R Bhagwan, ...
20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023
192023
B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks
G Somashekar, A Dutt, R Vaddavalli, S Bhargav Varanasi, A Gandhi
ICPE '22: Companion of the 2022 ACM/SPEC International Conference on …, 2022
122022
Enhancing the configuration tuning pipeline of large-scale distributed applications using large language models (idea paper)
G Somashekar, R Kumar
Companion of the 2023 ACM/SPEC International Conference on Performance …, 2023
82023
Reducing the tail latency of microservices applications via optimal configuration tuning
G Somashekar, A Suresh, S Tyagi, V Dhyani, K Donkada, A Pradhan, ...
2022 IEEE International Conference on Autonomic Computing and Self …, 2022
72022
Oppertune: Post-deployment configuration tuning of services made easy
G Somashekar, K Tandon, A Kini, CC Chang, P Husak, R Bhagwan, ...
21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), 2024
52024
Truncating multi-dimensional Markov chains with accuracy guarantee
G Somashekar, M Delasay, A Gandhi
2022 30th International Symposium on Modeling, Analysis, and Simulation of …, 2022
32022
GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications
G Somashekar, A Dutt, M Adak, T Lorido Botran, A Gandhi
Proceedings of the ACM on Web Conference 2024, 3085-3095, 2024
12024
Proposal: Performance Management of Large-Scale Microservices Applications
G Somashekar
Stony Brook University, 2023
12023
Truncating Multi-Dimensional Markov Chains with Accuracy Guarantee: Applications to Discriminatory Processor Sharing and Priority Queues
G Somashekar, M Delasay, A Gandhi
Stony Brook University, Tech. Rep. SBCS-TR-2022–17, 2022
12022
Tighter Lyapunov truncation for multi-dimensional continuous time markov chains with known moments
G Somashekar, M Delasay, A Gandhi
ACM SIGMETRICS Performance Evaluation Review 47 (2), 33-35, 2019
12019
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
M Shetty, Y Chen, G Somashekar, M Ma, Y Simmhan, X Zhang, J Mace, ...
arXiv preprint arXiv:2407.12165, 2024
2024
Efficient and accurate Lyapunov function-based truncation technique for multi-dimensional Markov chains with applications to discriminatory processor sharing and priority queues
G Somashekar, M Delasay, A Gandhi
Performance Evaluation 162, 102356, 2023
2023
Towards Performance Management of Large-Scale Microservices Applications
G Somashekar
2023 IEEE International Conference on Autonomic Computing and Self …, 2023
2023
Performance Management of Large-Scale Microservices Applications Using Machine Learning and Optimization
G Somashekar
State University of New York at Stony Brook, 2023
2023
AIOPSLAB: AHOLISTIC FRAMEWORK TO EVALUATE AI AGENTS FOR ENABLING AUTONOMOUS CLOUDS
Y Chen, M Shetty, G Somashekar, M Ma, Y Simmhan, J Mace, C Bansal, ...
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