Name
Title | ||
|---|---|---|
Boosting Parallel File System Performance via Heterogeneity-Aware Selective Data Layout. |
Abstract | ||
|---|---|---|
Hybrid parallel file systems (PFS) that combine HDD servers with SSD servers provide a promising solution for data intensive applications. The efficiency of a hybrid PFS relies on the data layout schemes. However, most current layout strategies are designed for homogeneous servers, which neither address the heterogeneity of servers nor the varying access patterns of applications. In this paper, we... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TPDS.2015.2504969 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Layout,Servers,Throughput,Distributed databases,System performance,Data models,Bandwidth | Data modeling,File system,Computer science,Server,Real-time computing,Dynamic data,Boosting (machine learning),Solid-state drive,Distributed database,Throughput,Distributed computing | Journal |
Volume | Issue | ISSN |
27 | 9 | 1045-9219 |
Citations | PageRank | References |
5 | 0.41 | 27 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuibing He | 1 | 109 | 20.45 |
| Yang Wang | 2 | 188 | 45.73 |
| Xian-he Sun | 3 | 1987 | 182.64 |