DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Young Sik | ko |
dc.contributor.author | Quero, Luis Cavazos | ko |
dc.contributor.author | Kim, Sang Hoon | ko |
dc.contributor.author | Kim, Jin-Soo | ko |
dc.contributor.author | Maeng, Seungryoul | ko |
dc.date.accessioned | 2016-11-09T05:27:34Z | - |
dc.date.available | 2016-11-09T05:27:34Z | - |
dc.date.created | 2016-10-19 | - |
dc.date.created | 2016-10-19 | - |
dc.date.issued | 2016-12 | - |
dc.identifier.citation | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, v.65, pp.76 - 89 | - |
dc.identifier.issn | 0167-739X | - |
dc.identifier.uri | http://hdl.handle.net/10203/213760 | - |
dc.description.abstract | In the last decades, there has been an explosion in the volume of data to be processed by data-intensive computing applications. As a result, processing I/O operations efficiently has become an important challenge. SSDs (solid state drives) are an effective solution that not only improves the I/O throughput but also reduces the amount of I/O transfer by adopting the concept of active SSDs. Active SSDs offload a part of the data-processing tasks usually performed in the host to the SSD. Offloading data-processing tasks removes extra data transfer and improves the overall data processing performance. In this work, we propose ActiveSort, a novel mechanism to improve the external sorting algorithm using the concept of active SSDs. External sorting is used extensively in the data-intensive computing frameworks such as Hadoop. By performing merge operations on-the-fly within the SSD, ActiveSort reduces the amount of I/O transfer and improves the performance of external sorting in Hadoop. Our evaluation results on a real SSD platform indicate that the Hadoop applications using ActiveSort outperform the original Hadoop by up to 36.1%. ActiveSort reduces the amount of write by up to 40.4%, thereby improving the lifetime of the SSD. (C) 2016 Elsevier B.V. All rights reserved | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | ActiveSort: Efficient external sorting using active SSDs in the MapReduce framework | - |
dc.type | Article | - |
dc.identifier.wosid | 000383826700007 | - |
dc.identifier.scopusid | 2-s2.0-84983072015 | - |
dc.type.rims | ART | - |
dc.citation.volume | 65 | - |
dc.citation.beginningpage | 76 | - |
dc.citation.endingpage | 89 | - |
dc.citation.publicationname | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE | - |
dc.identifier.doi | 10.1016/j.future.2016.03.003 | - |
dc.contributor.localauthor | Maeng, Seungryoul | - |
dc.contributor.nonIdAuthor | Quero, Luis Cavazos | - |
dc.contributor.nonIdAuthor | Kim, Jin-Soo | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Data-intensive computing | - |
dc.subject.keywordAuthor | MapReduce | - |
dc.subject.keywordAuthor | External sorting | - |
dc.subject.keywordAuthor | Solid state drives | - |
dc.subject.keywordAuthor | In-storage processing | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.