| 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 | 81 | 2020 |
| Towards optimal configuration of microservices G Somashekar, A Gandhi Proceedings of the 1st Workshop on Machine Learning and Systems, 7-14, 2021 | 24 | 2021 |
| {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 | 16 | 2023 |
| 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 | 11 | 2022 |
| 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| 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 | 4 | 2024 |
| 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 | 3 | 2022 |
| 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 | 1 | 2024 |
| 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 | 1 | 2022 |
| 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 | 1 | 2019 |
| 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 |
| Proposal: Performance Management of Large-Scale Microservices Applications G Somashekar Stony Brook University, 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 |
Anshul GandhiStony Brook University在 cs.stonybrook.edu 的电子邮件经过验证
