| dc.creator |
Ishengoma, Fredrick Romanus |
|
| dc.date |
2020-03-25T08:11:56Z |
|
| dc.date |
2020-03-25T08:11:56Z |
|
| dc.date |
2013 |
|
| dc.date.accessioned |
2022-10-20T13:47:41Z |
|
| dc.date.available |
2022-10-20T13:47:41Z |
|
| dc.identifier |
Ishengoma, F. R. (2013). HDFS+ Erasure coding based hadoop distributed file system. International Journal of Scientific & Technology Research, 2(8), 190-197. |
|
| dc.identifier |
2277-8616 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/2366 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/2366 |
|
| dc.description |
Full Text Article. Also available at: http://www.ijstr.org/final-print/sep2013/Hdfs+-Erasure-Coding-Based-Hadoop-Distributed-File-System.pdf |
|
| dc.description |
A simple replication-based mechanism has been used to achieve high data reliability of Hadoop Distributed File System (HDFS). However, replication based mechanisms have high degree of disk storage requirement since it makes copies of full block without consideration of storage size. Studies have shown that erasure-coding mechanism can provide more storage space when used as an alternative to replication. Also, it can increase write throughput compared to replication mechanism. To improve both space efficiency and I/O performance of the HDFS while preserving the same data reliability level, we propose HDFS+, an erasure coding based Hadoop Distributed File System. The proposed scheme writes a full block on the primary DataNode and then performs erasure coding with Vandermonde-based Reed-Solomon algorithm that divides data into m data fragments and encode them into ndata fragments (n>m), which are saved in N distinct DataNodes such that the original object can be reconstructed from any m fragments. The experimental results show that our scheme can save up to 33% of storage space while outperforming the original scheme in write performance by 1.4 times. Our scheme provides the same read performance as the original scheme as long as data can be read from the primary DataNode even under single-node or double-node failure. Otherwise, the read performance of the HDFS+ decreases to some extent. However, as the number of fragments increases, we show that the performance degradation becomes negligible.
Index Terms: Erasure coding, Hadoop, HDFS, I/O performance, node failure, replication, space efficiency. |
|
| dc.language |
en |
|
| dc.publisher |
Elsevier |
|
| dc.subject |
Erasure coding |
|
| dc.subject |
Hadoop |
|
| dc.subject |
I/O performance |
|
| dc.subject |
HDFS |
|
| dc.subject |
Node failure |
|
| dc.subject |
Replication |
|
| dc.subject |
Space efficiency |
|
| dc.subject |
Hadoop Distributed File System |
|
| dc.title |
HDFS+: Erasure coding based hadoop distributed file system |
|
| dc.type |
Article |
|