Accelerating External Sorting via On-the-fly Data Merge in Active SSDs

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dc.contributor.authorYoung-Sik Leeko
dc.contributor.authorLuis Cavazos Queroko
dc.contributor.authorYoungjae Leeko
dc.contributor.authorJin-Soo Kimko
dc.date.accessioned2020-03-19T05:25:17Z-
dc.date.available2020-03-19T05:25:17Z-
dc.date.created2020-02-25-
dc.date.created2020-02-25-
dc.date.issued2014-07-23-
dc.identifier.citation2014 USENIX Federated Conferences Week-
dc.identifier.urihttp://hdl.handle.net/10203/273182-
dc.description.abstractThe concept of active SSDs (solid state drives) has been introduced in order to cope with the demands required to process the ever-increasing volumes of data. In active SSDs, some of the data-processing tasks are offloaded to SSDs, freeing host system resources and improving overall performance of data analysis. In this paper, we propose a novel active SSD architec- ture focused on improving the external sorting algorithm that is used extensively in data-intensive computing. By performing merge operations on-the-fly in active SSDs, our method can remove the extra data transfer and en- hance the lifetime of SSDs. Our evaluation results on a real SSD platform indicate that the proposed scheme out- performs the traditional external sorting by up to 39%.-
dc.languageEnglish-
dc.publisherUSENIX (THE ADVANCED COMPUTIONG SYSTEMS ASSOCIATION)-
dc.titleAccelerating External Sorting via On-the-fly Data Merge in Active SSDs-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85084162830-
dc.type.rimsCONF-
dc.citation.publicationname2014 USENIX Federated Conferences Week-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationPhiladelphia-
dc.contributor.localauthorJin-Soo Kim-
dc.contributor.nonIdAuthorYoung-Sik Lee-
dc.contributor.nonIdAuthorLuis Cavazos Quero-
dc.contributor.nonIdAuthorYoungjae Lee-
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