Name
Abstract | ||
|---|---|---|
Large-scale small file storage for original pages degrades performance of search engines. In this paper, we first analyze the disadvantages of the existing EXT3 file system in accessing small files. Then, the rate and speed of compression algorithms are verified to choose a proper storage compression algorithm. Meanwhile, we design an original page oriented file organization structure and a read---write query tree to store the large-scale small files which need no modification. The accessing response time and disk space waste are remarkably decreased when search engines use these techniques to store original-page small files. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11227-015-1394-z | The Journal of Supercomputing |
Keywords | Field | DocType |
Search engine,Small file storage,Storage time,Storage space | File format,File Control Block,File system,Stub file,Computer science,Unix file types,Versioning file system,File system fragmentation,Operating system,Database,Computer file | Journal |
Volume | Issue | ISSN |
72 | 8 | 0920-8542 |
Citations | PageRank | References |
6 | 0.60 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weizhe Zhang | 1 | 287 | 53.07 |
| gangzhao lu | 2 | 6 | 0.60 |
| Hui He | 3 | 80 | 16.45 |
| Qizhen Zhang | 4 | 23 | 4.74 |
| chuanliang yu | 5 | 6 | 0.60 |