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Weight-based strategy for an I/O-intensive application at a cloud data center
Peng, Junjie[1]; Liu, Danxu[2]; Wang, Yingtao[3]; Zeng, Ying[4]; Cheng, Feng[5]; Zhang, Wenqiang[6]
刊名CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
2018
卷号30
关键词IOPS process scheduling random I O small files weight
ISSN号1532-0626
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2171856
专题上海大学
作者单位1.[1]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.
2.[2]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.
3.[3]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.
4.[4]Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China.
5.[5]Univ Potsdam, Hasso Plattner Inst, Potsdam, Germany.
6.[6]Fudan Univ, Sch Comp Sci & Technol, Shanghai, Peoples R China.
推荐引用方式
GB/T 7714
Peng, Junjie[1],Liu, Danxu[2],Wang, Yingtao[3],et al. Weight-based strategy for an I/O-intensive application at a cloud data center[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2018,30.
APA Peng, Junjie[1],Liu, Danxu[2],Wang, Yingtao[3],Zeng, Ying[4],Cheng, Feng[5],&Zhang, Wenqiang[6].(2018).Weight-based strategy for an I/O-intensive application at a cloud data center.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,30.
MLA Peng, Junjie[1],et al."Weight-based strategy for an I/O-intensive application at a cloud data center".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 30(2018).
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