INFless: a native serverless system for low-latency, high-throughput inference

Author:

Yang Yanan1ORCID,Zhao Laiping1,Li Yiming1,Zhang Huanyu1,Li Jie1,Zhao Mingyang1,Chen Xingzhen2,Li Keqiu1

Affiliation:

1. Tianjin University, China

2. 58.com, China

Publisher

ACM

Reference42 articles.

1. Fathom: reference workloads for modern deep learning methods

2. AILab. 2019. Deep learning inference. https://github.com/wuba/dl_inference AILab. 2019. Deep learning inference. https://github.com/wuba/dl_inference

3. BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching

4. AWS. 2020. Serverless Application Lens: Alexa Skills. https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens/alexa-skills.html AWS. 2020. Serverless Application Lens: Alexa Skills. https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens/alexa-skills.html

5. Microsoft Azure. 2020. Azure Functions—Serverless Architecture. https://azure.microsoft.com/en-us/services/functions/ Microsoft Azure. 2020. Azure Functions—Serverless Architecture. https://azure.microsoft.com/en-us/services/functions/

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1. InSS: An Intelligent Scheduling Orchestrator for Multi-GPU Inference With Spatio-Temporal Sharing;IEEE Transactions on Parallel and Distributed Systems;2024-10

2. DeInfer: A GPU resource allocation algorithm with spatial sharing for near-deterministic inferring tasks;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

3. QUART: Latency-Aware FaaS System for Pipelining Large Model Inference;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

4. Optimizing Simultaneous Autoscaling for Serverless Cloud Computing;2024 IEEE 17th International Conference on Cloud Computing (CLOUD);2024-07-07

5. Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing;IEEE Transactions on Computers;2024-07

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