Research on Automatic Online Analysis Method of Data Hotness in Big Data Scenario-Reference-Cited by-同舟云学术

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Research on Automatic Online Analysis Method of Data Hotness in Big Data Scenario

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
language:
Short-container-title:

Author:

Xu Jiahao¹,Song Ying¹,Wang Bo²

Affiliation:

1. Beijing Advanced Innovation Center for Materials Genome Engineering, Beijing Information Science and Technology University,Beijing Key Laboratory of Internet Culture and Digital Dissemination Research,Beijing,China

2. Software Engineering College, Zhengzhou University of Light Industry,Zhengzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730939/9730940/09730996.pdf?arnumber=9730996

Reference14 articles.

1. Greenhdfs: towards an energy-conserving, storage-efficient, hybrid hadoop compute cluster;kaushik;Proceedings of the USENIX Annual Technical Conference,0

2. ERMS: An Elastic Replication Management System for HDFS

3. Scarlett

4. Data adaptively storing approach for hadoop distributed file system

5. Data Access Monitoring and Replication Control Management System for HDFS Clusters

Cited by 1 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. Caching or not: An online cost optimization algorithm for geodistributed data analysis in cloud environments;Journal of Network and Computer Applications;2024-09

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