| Predicting performance and cost of serverless computing functions with SAAF R Cordingly, W Shu, WJ Lloyd 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2020 | 37 | 2020 |
| The serverless application analytics framework: Enabling design trade-off evaluation for serverless software R Cordingly, H Yu, V Hoang, Z Sadeghi, D Foster, D Perez, R Hatchett, ... Proceedings of the 2020 Sixth International Workshop on Serverless Computing …, 2020 | 30 | 2020 |
| Implications of programming language selection for serverless data processing pipelines R Cordingly, H Yu, V Hoang, D Perez, D Foster, Z Sadeghi, R Hatchett, ... 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2020 | 25 | 2020 |
| Enhancing observability of serverless computing with the serverless application analytics framework R Cordingly, N Heydari, H Yu, V Hoang, Z Sadeghi, W Lloyd Companion of the ACM/SPEC International Conference on Performance …, 2021 | 12 | 2021 |
| Function memory optimization for heterogeneous serverless platforms with cpu time accounting R Cordingly, S Xu, W Lloyd 2022 IEEE International Conference on Cloud Engineering (IC2E), 104-115, 2022 | 10 | 2022 |
| Implications of alternative serverless application control flow methods S Quinn, R Cordingly, W Lloyd Proceedings of the Seventh International Workshop on Serverless Computing …, 2021 | 9 | 2021 |
| Predicting performance and cost of serverless computing functions with saaf In: 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive … R Cordingly, W Shu, WJ Lloyd DOI: https://doi. org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142, 2020 | 9 | 2020 |
| Characterizing X86 and ARM serverless performance variation: a natural language processing case study D Lambion, R Schmitz, R Cordingly, N Heydari, W Lloyd Companion of the 2022 ACM/SPEC International Conference on Performance …, 2022 | 6 | 2022 |
| FaaSET: A Jupyter notebook to streamline every facet of serverless development R Cordingly, W Lloyd Companion of the 2022 ACM/SPEC International Conference on Performance …, 2022 | 3 | 2022 |
| Serverless performance modeling with cpu time accounting and the serverless application analytics framework R Cordingly University of Washington, 2021 | 3 | 2021 |
| X86 vs. ARM64: An Investigation of Factors Influencing Serverless Performance X Chen, LH Hung, R Cordingly, W Lloyd Proceedings of the 9th International Workshop on Serverless Computing, 7-12, 2023 | 2 | 2023 |
| Addressing Serverless Computing Vendor Lock-In through Cloud Service Abstraction D Mo, R Cordingly, D Chinn, W Lloyd 2023 IEEE International Conference on Cloud Computing Technology and Science …, 2023 | 1 | 2023 |
| Towards Serverless Sky Computing: An Investigation on Global Workload Distribution to Mitigate Carbon Intensity, Network Latency, and Cost R Cordingly, J Kaur, D Dwivedi, W Lloyd 2023 IEEE International Conference on Cloud Engineering (IC2E), 59-69, 2023 | 1 | 2023 |
| Enabling serverless sky computing R Cordingly, W Lloyd 2023 IEEE International Conference on Cloud Engineering (IC2E), 232-235, 2023 | 1 | 2023 |
| Sky Computing for Serverless R Cordingly Proceedings of the 24th International Middleware Conference: Demos, Posters …, 2023 | | 2023 |
| Understanding Container Isolation: An Investigation of Performance Implications of Container Runtimes N Bhaia, LH Hung, R Cordingly, W Lloyd Proceedings of the 9th International Workshop on Container Technologies and …, 2023 | | 2023 |
| Characterizing X86 and ARM Serverless Performance Variation D Lambion, R Schmitz, R Cordingly, N Heydari, W Lloyd | | 2022 |
| Modelagem de desempenho sem servidor com contabilidade de tempo da CPU e a estrutura de análise de aplicativos sem servidor RW Cordingly | | 2021 |
| 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)| 979-8-3503-3982-6/23/$31.00© 2023 IEEE| DOI: 10.1109/CloudCom59040. 2023.00063 M Abbadini, T Ahmad, LA Alexandru, G Amarasinghe, V Argyriou, ... | | |
| Towards Serverless Sky Computing: An Investigation on Global Workload Distribution to Mitigate Carbon Intensity, Network Latency, and Cost WL Robert Cordingly, Jasleen Kaur, Divyansh Dwivedi | | |
Wes J. LloydAssociate Professor, University of Washington, Tacoma在 acm.org 的电子邮件经过验证
