Name
Title | ||
|---|---|---|
An End-to-End Learning-Based Metadata Management Approach for Distributed File Systems |
Abstract | ||
|---|---|---|
Current distributed file systems are designed to support PB-scale even EB-scale data storage. Metadata service, which manages file attribute information and the global namespace tree, is crucial to system performance. Distributed metadata management, using multiple metadata servers (MDS's) to store metadata, provides effective approaches to alleviate the workload of a single server. However, maint... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TC.2021.3070471 | IEEE Transactions on Computers |
Keywords | DocType | Volume |
Metadata,Load management,Vegetation,Training,Neural networks,Load modeling,Switches | Journal | 71 |
Issue | ISSN | Citations |
5 | 0018-9340 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanning Gao | 1 | 4 | 2.73 |
| Xiaofeng Gao | 2 | 713 | 98.58 |
| Ruisi Zhang | 3 | 4 | 1.74 |
| guihai chen | 4 | 3537 | 317.28 |