Research on distributed competition big data hierarchical storage method based on Ceph architecture

Xiangzhou Chen; Qing Liu; Bijun Zhang; Gangzhu Li; Shaoping Wu

doi:10.1117/12.2655365

2 November 2022 Research on distributed competition big data hierarchical storage method based on Ceph architecture

Xiangzhou Chen, Qing Liu, Bijun Zhang, Gangzhu Li, Shaoping Wu

Author Affiliations +

Proceedings Volume 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022); 124550W (2022) https://doi.org/10.1117/12.2655365
Event: International Conference on Signal Processing and Communication Security (ICSPCS 2022), 2022, Dalian, China

Abstract

In the face of intensive data access requests, the current big data storage methods have the problem of poor concurrent read-write performance. Based on Ceph architecture, a distributed big data hierarchical storage method is designed to realize the robust storage service of data files. According to the frequency and popularity of the access object, the cold data with low frequency is eliminated, and the access cache pool or back-end storage pool is selected. Standardize the I/O performance, load and capacity values in the OSD set, calculate the comprehensive weight, and determine the priority of node access. The entire Ceph architecture balances the data distribution. When highly concurrent data access operations occur, a random number is selected to execute the read service of the storage node to ensure the interconnection communication in different clusters. The test results show that the write and read time of the hierarchical storage method based on Ceph architecture is greatly reduced, and good results are achieved in terms of cache hit rate, which can effectively manage and store competitive big data.

Citation Download Citation

Xiangzhou Chen, Qing Liu, Bijun Zhang, Gangzhu Li, and Shaoping Wu "Research on distributed competition big data hierarchical storage method based on Ceph architecture", Proc. SPIE 12455, International Conference on Signal Processing and Communication Security (ICSPCS 2022), 124550W (2 November 2022); https://doi.org/10.1117/12.2655365

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data storage

On-screen displays

Data modeling

Data backup

Data centers

Associative arrays

Data communications

Show All Keywords

Keywords/Phrases

Search In:

Publication Years