A Distributed Data Storage Strategy Based on LOPs-Reference-Cited by-同舟云学术

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A Distributed Data Storage Strategy Based on LOPs

Published:2021-11-30 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Wang Qianqiu^ORCID,Ye Xiaoping,Luo Xianlu,Li Lunjie,Chen Hainan

Funder

postdoctoral research foundation of china

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-021-06371-3.pdf

Reference28 articles.

1. Zhang, Y.; et al.: Parallel processing systems for big data: a survey. Proc. IEEE 104(11), 2114–2136 (2016)

2. Polato, I.; et al.: A comprehensive view of Hadoop research—a systematic literature review. J. Netw. Comput. Appl. 46, 1–25 (2014). Author 1, A.; Author 2, B. Book Title, 3rd ed.; Publisher: Publisher Location, Country, 2008; pp. 154–196

3. Challa, J.S.; et al.: DD-Rtree: a dynamic distributed data structure for efficient data distribution among cluster nodes for spatial data mining algorithms. In: 2016 IEEE International Conference on Big Data (Big Data). IEEE (2016)

4. Cangir, O.F.; Cankur, O.; Ozsoy, A.: A taxonomy for Blockchain based distributed storage technologies. Inf. Process. Manag. 58(5), 102627 (2021)

5. Fan, W.; et al.: Method of maintaining data consistency in microservice architecture. In: 2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS). IEEE Computer Society (2018)

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1. Towards benchmarking erasure coding schemes in object storage system: A systematic review;Future Generation Computer Systems;2024-09

2. Small file storage optimization model in cloud environment;2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2022-06-17

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