文献
J-GLOBAL ID:201802247551305229
整理番号:18A0196125
内mapreduceフレームワークのための共同の最適化タスク粒度と並行性【Powered by NICT】
Jointly optimizing task granularity and concurrency for in-memory mapreduce frameworks
著者 (8件):
Bae Jonghyun
(Department of Computer Science and Engineering, Seoul National University)
,
Jang Hakbeom
(Department of Electrical and Computer Engineering, Sungkyunkwan University)
,
Jin Wenjing
(Department of Computer Science and Engineering, Seoul National University)
,
Heo Jun
(Department of Computer Science and Engineering, Seoul National University)
,
Jang Jaeyoung
(Department of Electrical and Computer Engineering, Sungkyunkwan University)
,
Hwang Joo-Young
(Software Development Team, Memory Business, Samsung Electronics Co., Ltd.)
,
Cho Sangyeun
(Software Development Team, Memory Business, Samsung Electronics Co., Ltd.)
,
Lee Jae W.
(Department of Computer Science and Engineering, Seoul National University)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
Big Data
ページ:
130-140
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)