| Cloud Programming Simplified: A Berkeley View on Serverless Computing E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019 | 744 | 2019 |
| What serverless computing is and should become: The next phase of cloud computing J Schleier-Smith, V Sreekanti, A Khandelwal, J Carreira, NJ Yadwadkar, ... Communications of the ACM 64 (5), 76-84, 2021 | 222 | 2021 |
| Selecting the best vm across multiple public clouds: A data-driven performance modeling approach NJ Yadwadkar, B Hariharan, JE Gonzalez, B Smith, RH Katz Proceedings of the 2017 Symposium on Cloud Computing, 452-465, 2017 | 216 | 2017 |
| Wrangler: Predictable and Faster Jobs using Fewer Resources NJ Yadwadkar, G Ananthanarayanan, R Katz Proceedings of the ACM Symposium on Cloud Computing, 1-14, 2014 | 177 | 2014 |
| INFaaS: Automated Model-less Inference Serving F Romero, Q Li, NJ Yadwadkar, C Kozyrakis 2021 {USENIX} Annual Technical Conference ({USENIX}{ATC} 21), 397-411, 2021 | 154 | 2021 |
| Centralized Core-granular Scheduling for Serverless Functions K Kaffes, NJ Yadwadkar, C Kozyrakis Proceedings of the ACM Symposium on Cloud Computing, 158-164, 2019 | 104 | 2019 |
| Faa $ T: A transparent auto-scaling cache for serverless applications F Romero, GI Chaudhry, Í Goiri, P Gopa, P Batum, NJ Yadwadkar, ... Proceedings of the ACM Symposium on Cloud Computing, 122-137, 2021 | 96 | 2021 |
| Llama: A heterogeneous & serverless framework for auto-tuning video analytics pipelines F Romero, M Zhao, NJ Yadwadkar, C Kozyrakis Proceedings of the ACM Symposium on Cloud Computing, 1-17, 2021 | 82 | 2021 |
| Multi-task learning for straggler avoiding predictive job scheduling NJ Yadwadkar, B Hariharan, JE Gonzalez, R Katz The Journal of Machine Learning Research 17 (1), 3692-3728, 2016 | 75 | 2016 |
| SmartHarvest: harvesting idle CPUs safely and efficiently in the cloud Y Wang, K Arya, M Kogias, M Vanga, A Bhandari, NJ Yadwadkar, S Sen, ... Proceedings of the Sixteenth European Conference on Computer Systems, 1-16, 2021 | 50 | 2021 |
| Discovery of Application Workloads from Network File Traces. NJ Yadwadkar, C Bhattacharyya, K Gopinath, T Niranjan, S Susarla FAST, 183-196, 2010 | 49 | 2010 |
| Context: The missing piece in the machine learning lifecycle R Garcia, V Sreekanti, N Yadwadkar, D Crankshaw, JE Gonzalez, ... KDD CMI Workshop 114, 2018 | 47 | 2018 |
| INFaaS: A Model-less and Managed Inference Serving System F Romero, Q Li, NJ Yadwadkar, C Kozyrakis arXiv preprint arXiv:1905.13348, 2019 | 36 | 2019 |
| Proactive straggler avoidance using machine learning NJ Yadwadkar, W Choi White paper, University of Berkeley, 2012 | 35 | 2012 |
| A Case for Managed and Model-less Inference Serving NJ Yadwadkar, F Romero, Q Li, C Kozyrakis Proceedings of the Workshop on Hot Topics in Operating Systems, 184-191, 2019 | 34 | 2019 |
| Hermod: principled and practical scheduling for serverless functions K Kaffes, NJ Yadwadkar, C Kozyrakis Proceedings of the 13th Symposium on Cloud Computing, 289-305, 2022 | 33 | 2022 |
| Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR abs/1902.03383 (2019) E Jonas, J Schleier-Smith, V Sreekanti, C Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019 | 30 | 2019 |
| INFaaS: Managed & Model-less Inference Serving F Romero, Q Li, NJ Yadwadkar, C Kozyrakis arXiv preprint arXiv:1905.13348, 2019 | 29 | 2019 |
| Cloud programming simplified: A berkeley view on serverless computing.(2019) E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019 | 28 | 2019 |
| Managing service level objectives for storage workloads N Yadwadkar, SRK Susarla, K Voruganti, RA Talwadker, V Mathur, ... US Patent 8,856,335, 2014 | 28 | 2014 |
Christos KozyrakisStanford University在 stanford.edu 的电子邮件经过验证
