| Stela: Enabling stream processing systems to scale-in and scale-out on-demand L Xu, B Peng, I Gupta 2016 IEEE International Conference on Cloud Engineering (IC2E), 22-31, 2016 | 96 | 2016 |
| Chi: A scalable and programmable control plane for distributed stream processing systems L Mai, K Zeng, R Potharaju, L Xu, S Suh, S Venkataraman, P Costa, T Kim, ... Proceedings of the VLDB Endowment 11 (10), 1303-1316, 2018 | 74 | 2018 |
| Move fast and meet deadlines: Fine-grained real-time stream processing with cameo L Xu, S Venkataraman, I Gupta, L Mai, R Potharaju 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2021 | 28 | 2021 |
| Sparkle: Optimizing spark for large memory machines and analytics M Kim, J Li, H Volos, M Marwah, A Ulanov, K Keeton, J Tucek, ... arXiv preprint arXiv:1708.05746, 2017 | 21 | 2017 |
| Henge: Intent-driven multi-tenant stream processing F Kalim, L Xu, S Bathey, R Meherwal, I Gupta Proceedings of the ACM Symposium on Cloud Computing, 249-262, 2018 | 20 | 2018 |
| Popular is cheaper: Curtailing memory costs in interactive analytics engines M Ghosh, A Raina, L Xu, X Qian, I Gupta, H Gupta Proceedings of the Thirteenth EuroSys Conference, 1-14, 2018 | 9 | 2018 |
| Scale Up vs. scale out in cloud storage and graph processing systems W Wang, L Xu, I Gupta 2015 IEEE International Conference on Cloud Engineering, 428-433, 2015 | 7 | 2015 |
| Getafix: Workload-aware distributed interactive analytics M Ghosh, L Xu, X Qian, T Kao, I Gupta, H Gupta | 4 | 2016 |
| Leveraging cloud computing to make autonomous vehicles safer P Schafhalter, S Kalra, L Xu, JE Gonzalez, I Stoica 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 3 | 2023 |
| Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing L Xu, D Saxena, NJ Yadwadkar, A Akella, I Gupta arXiv preprint arXiv:2308.03615, 2023 | 2 | 2023 |
| Banyan: a scoped dataflow engine for graph query service L Su, X Qin, Z Zhang, R Yang, L Xu, I Gupta, W Yu, K Zeng, J Zhou arXiv preprint arXiv:2202.12530, 2022 | 2 | 2022 |
| MOSEL: Inference Serving Using Dynamic Modality Selection B Hu, L Xu, J Moon, NJ Yadwadkar, A Akella arXiv preprint arXiv:2310.18481, 2023 | 1 | 2023 |
| A hypothesis testing approach to sharing logs with confidence Y Long, L Xu, CA Gunter Proceedings of the Tenth ACM Conference on Data and Application Security and …, 2020 | 1 | 2020 |
| Dataflow execution graph modification using intermediate graph SR Rahul Potharaju, Kai Zeng, Paolo Costa, Terry Yumin Kim, Sudheer ... US Patent App. 15/994,918, 2019 | 1* | 2019 |
| BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models J Li, L Xu, H Xu, A Akella arXiv preprint arXiv:2404.18322, 2024 | | 2024 |
| Elastic techniques to handle dynamism in real-time data processing systems L Xu University of Illinois at Urbana-Champaign, 2021 | | 2021 |
| Resource Management: Performance Assuredness in Distributed Cloud Computing via Online Reconfigurations AC Computing, CAK Campbell, KA Kwiat Assured Cloud Computing, 160, 2018 | | 2018 |
| VStorm: Video Traffic Management By Distributed Data Stream Processing Systems L Xu, K Nahrstedt, I Gupta | | 2016 |
| Stela: on-demand elasticity in distributed data stream processing systems L Xu University of Illinois at Urbana-Champaign, 2015 | | 2015 |
