| dc.creator | Bakratsas M., Basaras P., Katsaros D., Tassiulas L. | en |
| dc.date.accessioned | 2023-01-31T07:35:23Z | |
| dc.date.available | 2023-01-31T07:35:23Z | |
| dc.date.issued | 2017 | |
| dc.identifier | 10.1007/978-3-319-47898-2_12 | |
| dc.identifier.isbn | 9783319478975 | |
| dc.identifier.issn | 21945357 | |
| dc.identifier.uri | http://hdl.handle.net/11615/71067 | |
| dc.description.abstract | This article investigates the relative performance of SSDs versus hard disk drives (HDDs) when they are used as underlying storage for Hadoop’s MapReduce. We examine MapReduce tasks and data suitable for performing analysis of complex networks which present different execution patterns. The obtained results confirmed in part earlier studies which showed that SSDs are beneficial to Hadoop; we also provide solid evidence that the processing pattern of the running application plays a significant role. © Springer International Publishing AG 2017. | en |
| dc.language.iso | en | en |
| dc.source | Advances in Intelligent Systems and Computing | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994523279&doi=10.1007%2f978-3-319-47898-2_12&partnerID=40&md5=e3cd2e4978eb4ad3f7c6a9bf3a150d32 | |
| dc.subject | Complex networks | en |
| dc.subject | Digital storage | en |
| dc.subject | Hard disk storage | en |
| dc.subject | Hadoop MapReduce | en |
| dc.subject | Hard disk drives | en |
| dc.subject | Map-reduce | en |
| dc.subject | Relative performance | en |
| dc.subject | Running applications | en |
| dc.subject | Big data | en |
| dc.subject | Springer Verlag | en |
| dc.title | Hadoop mapreduce performance on SSDs: The case of complex network analysis tasks | en |
| dc.type | conferenceItem | en |
