干旱区生态环境知识资源中心(Arid): xMeta: SSD-HDD-hybrid Optimization for Metadata Maintenance of Cloud-scale Object Storage

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DOI	10.1145/3652606
	xMeta: SSD-HDD-hybrid Optimization for Metadata Maintenance of Cloud-scale Object Storage
	Chen, Yan; Ke, Qiwen; Li, Huiba; Wu, Yongwei; Zhang, Yiming
通讯作者	Chen, Y
来源期刊	ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION
ISSN	1544-3566
EISSN	1544-3973
出版年	2024
卷号	21 期号:2
英文摘要	Object storage has been widely used in the cloud. Traditionally, the size of object metadata is much smaller than that of object data, and thus existing object storage systems (such as Ceph and Oasis) can place object data and metadata, respectively, on hard disk drives (HDDs) and solid-state drives (SSDs) to achieve high I/O performance at a low monetary cost. Currently, however, a wide range of cloud applications organize their data as large numbers of small objects of which the data size is close to (or even smaller than) the metadata size, thus greatly increasing the cost if placing all metadata on expensive SSDs. This article presents xMeta, an SSD-HDD-hybrid optimization for metadata maintenance of cloud-scale object storage. We observed that a substantial portion of the metadata of small objects is rarely accessed and thus can be stored on HDDs with little performance penalty. Therefore, xMeta first classifies the hot and cold metadata based on the frequency of metadata accesses of upper-layer applications and then adaptively stores the hot metadata on SSDs and the cold metadata on HDDs. We also propose a merging mechanism for hot metadata to further improve the efficiency of SSD storage and optimize range key query and insertion for hot metadata by designing composite keys. We have integrated the xMeta metadata service with Ceph to realize a high-performance, low-cost object store (called xCeph). The extensive evaluation shows that xCeph outperforms the original Ceph by an order of magnitude in the space requirement of SSD storage, while improving the throughput by up to 2.7x.
英文关键词	Optimization for metadata maintenance cloud-scale object storage
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001242588100020
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods
WOS研究方向	Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402580
推荐引用方式 GB/T 7714	Chen, Yan,Ke, Qiwen,Li, Huiba,et al. xMeta: SSD-HDD-hybrid Optimization for Metadata Maintenance of Cloud-scale Object Storage[J],2024,21(2).
APA	Chen, Yan,Ke, Qiwen,Li, Huiba,Wu, Yongwei,&Zhang, Yiming.(2024).xMeta: SSD-HDD-hybrid Optimization for Metadata Maintenance of Cloud-scale Object Storage.ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION,21(2).
MLA	Chen, Yan,et al."xMeta: SSD-HDD-hybrid Optimization for Metadata Maintenance of Cloud-scale Object Storage".ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION 21.2(2024).