QQ客服 官方微博 反馈留言

	Mamr: high-performance mapreduce programming model for material cloud applications
	Jing, Weipeng1; Tong, Danyu1; Wang, Yangang2; Wang, Jingyuan3; Liu, Yaqiu1; Zhao, Peng1
刊名	Computer physics communications
	2017-02-01
卷号	211页码:79-87
关键词	Materials Programming model Mapreduce Bsp Merge phase
ISSN号	0010-4655
DOI	10.1016/j.cpc.2016.07.015
通讯作者	Wang, yangang(wangyg@sccas.cn)
英文摘要	With the increasing data size in materials science, existing programming models no longer satisfy the application requirements. mapreduce is a programming model that enables the easy development of scalable parallel applications to process big data on cloud computing systems. however, this model does not directly support the processing of multiple related data, and the processing performance does not reflect the advantages of cloud computing. to enhance the capability of workflow applications in material data processing, we defined a programming model for material cloud applications that supports multiple different map and reduce functions running concurrently based on hybrid share-memory bsp called mamr. an optimized data sharing strategy to supply the shared data to the different map and reduce stages was also designed. we added a new merge phase to mapreduce that can efficiently merge data from the map and reduce modules. experiments showed that the model and framework present effective performance improvements compared to previous work. (c) 2016 elsevier b.v. all rights reserved.
WOS研究方向	Computer Science ; Physics
WOS类目	Computer Science, Interdisciplinary Applications ; Physics, Mathematical
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000390181300012
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2374190
专题	计算机网络信息中心
通讯作者	Wang, Yangang
作者单位	1.Northeast Forestry Univ, Coll Informat & Comp Engn, Harbin, Peoples R China 2.Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China 3.Beihang Univ, Sch Comp Sci & Engn, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Jing, Weipeng,Tong, Danyu,Wang, Yangang,et al. Mamr: high-performance mapreduce programming model for material cloud applications[J]. Computer physics communications,2017,211:79-87.
APA	Jing, Weipeng,Tong, Danyu,Wang, Yangang,Wang, Jingyuan,Liu, Yaqiu,&Zhao, Peng.(2017).Mamr: high-performance mapreduce programming model for material cloud applications.Computer physics communications,211,79-87.
MLA	Jing, Weipeng,et al."Mamr: high-performance mapreduce programming model for material cloud applications".Computer physics communications 211(2017):79-87.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。