A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing-Reference-Cited by-同舟云学术

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A Survey of Semantics-Aware Performance Optimization for Data-Intensive Computing

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
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Author:

Rao Bingbing,Wang Liqang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8327304/8328301/08328371.pdf?arnumber=8328371

Cited by 5 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. Coflow scheduling in mapreduce framework for cloud data center;MATERIALS V INTERNATIONAL YOUTH APPLIED RESEARCH FORUM “OIL CAPITAL”: Conference Series “OIL CAPITAL”;2023

2. A novel data size‐aware offloading technique for resource provisioning in mobile cloud computing;International Journal of Communication Systems;2022-10-31

3. Distributed real-time ETL architecture for unstructured big data;Knowledge and Information Systems;2022-09-16

4. SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis;2021 IEEE 14th International Conference on Cloud Computing (CLOUD);2021-09

5. Report of the 2017 IEEE Cyber Science and Technology Congress;Applied Sciences;2017-12-14

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