Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Harunobu Daikoku"'
Publikováno v:
IEEE BigData
This paper proposes and examines the three in-memory shuffling methods designed to address problems in MapReduce shuffling caused by skewed data. Coupled Shuffle Architecture (CSA) employs a single pairwise all-to-all exchange to shuffle both blocks,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f9bb43e41ffc3e011f8fce788d3e886
https://tsukuba.repo.nii.ac.jp/records/56019
https://tsukuba.repo.nii.ac.jp/records/56019
Publikováno v:
BeyondMR@SIGMOD
MapReduce is commonly used as a way of big data analysis in many fields. Shuffling, the inter-node data exchange phase of MapReduce, has been reported as the major bottleneck of the framework. Acceleration of shuffling has been studied in literature,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ef28d519a15d5a66c92dd1d6a2ebaa
https://doi.org/10.1145/2926534.2926538
https://doi.org/10.1145/2926534.2926538