Name
Abstract | ||
|---|---|---|
In this paper, we propose an erasure-coded data archival system called aHDFS for Hadoop clusters, where RS(k + r; k) codes are employed to archive data replicas in the Hadoop distributed file system or HDFS. We develop two archival strategies (i.e., aHDFS-Grouping and aHDFS-Pipeline) in aHDFSto speed up the data archival process. aHDFS-Groupinga MapReduce-based data archiving scheme - keeps each m... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TPDS.2017.2706686 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Mathematical model,Distributed databases,Redundancy,Encoding,Programming,Pipelines,Data models | Block size,Distributed File System,Data modeling,Computer science,Parallel computing,Real-time computing,Shuffling,Distributed database,Erasure code,Encoding (memory),Distributed computing,Speedup | Journal |
Volume | Issue | ISSN |
28 | 11 | 1045-9219 |
Citations | PageRank | References |
3 | 0.50 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanqi Chen | 1 | 6 | 3.92 |
| Yi Zhou | 2 | 230 | 32.97 |
| Shubbhi Taneja | 3 | 5 | 1.87 |
| Xiao Qin | 4 | 1836 | 125.69 |
| Jianzhong Huang | 5 | 87 | 19.32 |