Abstract | ||
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Traditional data storage schemes are primarily based upon Hard Disk Drives (HDD). However, with the appearance of large amount of data on the Web, the read/write performance based on HDD has reached a bottleneck. Thus the emerging of Solid State Drives (SSD) has provided an opportunity for the storage of the Web of data. In this paper, we propose an SSD/HDD hybrid distributed storage scheme, called HDStore, for large-scale data, in which the single fix-sized journal file using the append-only mode is stored on SSD to support efficient read and write, while several segment files focusing on read are stored on HDD. Through a series of operations build, split, move, and merge between the journal and segment files, we constructed HDStore storage scheme based on JS-model. The experimental results show that HDStore obtains an efficient optimization of data read/write, especially the write performance has increased by 15 % compared to the traditional HDD-based scheme. |
Year | DOI | Venue |
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2014 | 10.1007/978-3-319-11538-2_20 | WEB-AGE INFORMATION MANAGEMENT: WAIM 2014 INTERNATIONAL WORKSHOPS |
Keywords | Field | DocType |
JS-model, HDstore, SSD, Hybrid distributed storage scheme | Data mining,Bottleneck,Computer data storage,Computer science,Distributed data store,Merge (version control),Solid-state,Operating system | Conference |
Volume | ISSN | Citations |
8597 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 10 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhijie Feng | 1 | 1 | 0.35 |
Zhiyong Feng | 2 | 794 | 167.21 |
Xin Wang | 3 | 65 | 24.90 |
Guozheng Rao | 4 | 30 | 9.79 |
Yazhou Wei | 5 | 1 | 0.35 |
Zhiyuan Li | 6 | 1380 | 155.70 |