Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications-Reference-Cited by-同舟云学术

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Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:SC22: International Conference for High Performance Computing, Networking, Storage and Analysis
language:
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Author:

Arif Moiz¹,Assogba Kevin¹,Rafique M. Mustafa¹

Affiliation:

1. Rochester Institute of Technology,Department of Computer Science,Rochester,NY,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046045/10045783/10046074.pdf?arnumber=10046074

Reference97 articles.

1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;abadi;ArXiv Preprint,2016

2. SeBS

3. Mnist handwritten digit database;lecun;ATT Labs [Online] Available http //yann lecun com/exdb/mnist,2010

4. Deep Residual Learning for Image Recognition

5. An empirical guide to the behavior and use of scalable persistent memory;yang;18th USENIX Conference on File and Storage Technologies (FAST 20),2020

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1. HashCache: Accelerating Serverless Computing by Skipping Duplicated Function Execution;IEEE Transactions on Parallel and Distributed Systems;2023-12

2. PredictDDL: Reusable Workload Performance Prediction for Distributed Deep Learning;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31

3. GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching;Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing;2023-08-07

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