Using a Robust Metadata Management System to Accelerate Scientific Discovery at Extreme Scales-Reference-Cited by-同舟云学术

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Using a Robust Metadata Management System to Accelerate Scientific Discovery at Extreme Scales

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE/ACM 3rd International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS)
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Author:

Lawson Margaret,Lofstead Jay

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8630311/8638414/08638423.pdf?arnumber=8638423

Cited by 8 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. EMPRESS: Accelerating Scientific Discovery through Descriptive Metadata Management;ACM Transactions on Storage;2022-11-30

2. Kv2vec: A Distributed Representation Method for Key-value Pairs from Metadata Attributes;2022 IEEE High Performance Extreme Computing Conference (HPEC);2022-09-19

3. Dissecting self-describing data formats to enable advanced querying of file metadata;Proceedings of the 14th ACM International Conference on Systems and Storage;2021-06-14

4. MOSIQS: Persistent Memory Object Storage With Metadata Indexing and Querying for Scientific Computing;IEEE Access;2021

5. An Integrated Indexing and Search Service for Distributed File Systems;IEEE Transactions on Parallel and Distributed Systems;2020-10-01

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