EdgeDB: An Efficient Time-Series Database for Edge Computing-Reference-Cited by-同舟云学术

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EdgeDB: An Efficient Time-Series Database for Edge Computing

Published:2019 Issue: Volume:7 Page:142295-142307
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Yang^ORCID,Cao Qiang,Jiang Hong

Funder

National Natural Science Foundation of China

Huazhong University of Science and Technology

Northwestern Polytechnical University

National Science Foundation

Alibaba Group through Alibaba Innovative Research (AIR) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

https://ieeexplore.ieee.org/ielam/6287639/8600701/8850107-aam.pdf

Cited by 19 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. A Heterogeneous Streaming Vehicle Data Access Model for Diverse IoT Sensor Monitoring Network Management;IEEE Internet of Things Journal;2024-08-15

2. Databases in Edge and Fog Environments: A Survey;ACM Computing Surveys;2024-07-08

3. Time-tired compaction: An elastic compaction scheme for LSM-tree based time-series database;Advanced Engineering Informatics;2024-01

4. RibesDB: A Time-Series Database at Edge for the Industrial Internet of Things;2023 IEEE 16th Malaysia International Conference on Communication (MICC);2023-12-10

5. Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections;4th ACM International Conference on AI in Finance;2023-11-25

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