摘要
大图的存储方式直接影响大图的访问效率以及查询与挖掘的效率。随着大图应用的不断发展,大图分布式存储技术所面临的挑战更加严峻,需要解决的问题日益迫切。首先阐述大图产生的背景以及大图分布式存储所面临的主要挑战,然后分析大图分布式存储技术的国内外研究现状,最后总结现有研究存在的问题并指明未来可能的研究方向。
Abstract
The storage paradigm of large-scale graph data directly affects the efficiency of graph data access, query and mining.With the development of the applications of large-scale graph data, distributed storage systems for large-scale graph data face more severe challenges. Many problems are very urgent to be resolved. This paper mainly focuses on three issues. Firstly, the background of the generation of large-scale graph data is introduced and the main challenges for distributed storage techniques are stated. Secondly,the state-of-art solutions to distributed storage of large-scale graph data are analyzed. Finally, remaining problems are summarized and possible directions for future research are discussed.
关键词
大图存储 /
图分割 /
访问效率 /
图历史查询
Key words
large-scale graph storage /
graph partitioning /
graph data access efficiency /
graph history search
辛刚.
大图分布式存储关键技术浅析[J]. 电脑与电信. 2018, 1(3): 49-52
XIN Gang.
Brief Analysis on Key Storage Technologies of Large-scale Graph Data[J]. Computer & Telecommunication. 2018, 1(3): 49-52
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