1. Martín Abadi. 2016. TensorFlow: learning functions at scale. In Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming. 1--1.
2. Ahsan Ali, Riccardo Pinciroli, Feng Yan, and Evgenia Smirni. 2020. Batch: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (Atlanta, Georgia) (SC '20). IEEE Press, Article 69, 15 pages.
3. Josep L. Berral, Chen Wang, and Alaa Youssef. 2020. AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management. In Proceedings of the 12th USENIX Conference on Hot Topics in Cloud Computing (HotCloud'20). USENIX Association, USA, Article 3, 1 pages.
4. BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services
5. Sebastian Böhm and Guido Wirtz. 2021. Profiling Lightweight Container Platforms: MicroK8s and K3s in Comparison to Kubernetes.. In ZEUS. 65--73.