2PTS: A Two-Phase Task Scheduling Algorithm for MapReduce
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Byungnam | - |
dc.contributor.author | Shim, Yeeun | - |
dc.contributor.author | Chung, Yon Dohn | - |
dc.date.accessioned | 2021-09-03T20:47:24Z | - |
dc.date.available | 2021-09-03T20:47:24Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2016-09 | - |
dc.identifier.issn | 1745-1361 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/87716 | - |
dc.description.abstract | For an efficient processing of large data in a distributed system, Hadoop MapReduce performs task scheduling such that tasks are distributed with consideration of the data locality. The data locality, however, is limitedly exploited, since it is pursued one node at a time basis without considering the global optimality. In this paper, we propose a novel task scheduling algorithm that globally considers the data locality. Through experiments, we show our algorithm improves the performance of MapReduce in various situations. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.title | 2PTS: A Two-Phase Task Scheduling Algorithm for MapReduce | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Yon Dohn | - |
dc.identifier.doi | 10.1587/transinf.2016EDL8075 | - |
dc.identifier.scopusid | 2-s2.0-84984916905 | - |
dc.identifier.wosid | 000384920500019 | - |
dc.identifier.bibliographicCitation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E99D, no.9, pp.2377 - 2380 | - |
dc.relation.isPartOf | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.citation.title | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
dc.citation.volume | E99D | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 2377 | - |
dc.citation.endPage | 2380 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.subject.keywordAuthor | MapReduce | - |
dc.subject.keywordAuthor | task scheduling algorithm | - |
dc.subject.keywordAuthor | data locality | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.