Maximum Sustainable throughput Prediction for Data Stream Processing over Public Clouds-Reference-Cited by-同舟云学术

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Maximum Sustainable throughput Prediction for Data Stream Processing over Public Clouds

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
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Author:

Imai Shigeru,Patterson Stacy,Varela Carlos A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7973338/7973673/07973737.pdf?arnumber=7973737

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Costream: Learned Cost Models for Operator Placement in Edge-Cloud Environments;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Micro-batch and data frequency for stream processing on multi-cores;The Journal of Supercomputing;2023-01-09

3. Operator Placement for IoT Data Streaming Applications in Edge Computing Environment;Algorithms and Architectures for Parallel Processing;2023

4. An LSTM-based method for Message Queue Throughput Prediction;Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence;2022-12-23

5. Job scheduling for big data analytical applications in clouds: A taxonomy study;Future Generation Computer Systems;2022-10

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