A survey of memory deduplication approaches for intelligent urban computing

doi:10.1007/s00138-017-0834-6

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	A survey of memory deduplication approaches for intelligent urban computing
	Huang, Hailiang 2; Yan, Chenggang 2; Liu, Bingtao 2; Chen, Licheng 1
刊名	MACHINE VISION AND APPLICATIONS
	2017-10-01
卷号	28 期号:7 页码:705-714
关键词	Memory deduplication Virtual machine Content-based page sharing Intelligent urban computing
ISSN号	0932-8092
DOI	10.1007/s00138-017-0834-6
英文摘要	Limited memory size is considered as a major bottleneck in data centers for intelligent urban computing. It is shown that there exist a large number of duplicated pages when various processes working with big data are hosted in data centers. Memory deduplication aims to automatically eliminate duplicate data in memory. It is an efficient technique to reduce memory requirement. In memory deduplication, pages with same content are detected and merged into a single copy. Recently, several system-level techniques have been proposed to address this issue, in which content-based page sharing (CBPS) is most widely used, since CBPS can be performed transparently in the hypervisor layer without any modification to guest operating systems of data center. In this paper, we survey several techniques for memory deduplication. We also classify these techniques based on their characteristics to highlight their similarities and differences. The aim of this paper is to provide insights to researchers into working of memory deduplication techniques and also to motivate them to propose better intelligent urban computing systems.
资助项目	National Nature Science Foundation of China[61671196] ; National Nature Science Foundation of China[61327902] ; Zhejiang Province Nature Science Foundation of China[LR17F030006]
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000412487500004
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/6768]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Yan, Chenggang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Peoples R China
推荐引用方式 GB/T 7714	Huang, Hailiang,Yan, Chenggang,Liu, Bingtao,et al. A survey of memory deduplication approaches for intelligent urban computing[J]. MACHINE VISION AND APPLICATIONS,2017,28(7):705-714.
APA	Huang, Hailiang,Yan, Chenggang,Liu, Bingtao,&Chen, Licheng.(2017).A survey of memory deduplication approaches for intelligent urban computing.MACHINE VISION AND APPLICATIONS,28(7),705-714.
MLA	Huang, Hailiang,et al."A survey of memory deduplication approaches for intelligent urban computing".MACHINE VISION AND APPLICATIONS 28.7(2017):705-714.