LUO Xian-lu1,YE Xiao-ping(1,2),WANG Qian-qiu1,LI Qiang1
1（Department of Computer Science and Technology,Neusoft Institute of Guangdong,Foshan 528225,China）2（School of Computer,South China Normal University,Guangzhou 510631,China）
Abstract：Distributed data storage and query became one of key technologies in management of big data for the new era of cloud computing.Distributed data management requires partition and allocation of data at the data storage level,and it is necessary to configure and integrate the query results of each site in query aspect.For structured data,for example,relational data already has mature and effective related technologies.But for big data that is largely semi-structured,unstructured,and a variety of data patterns are mixed,distributed data partition and allocation is still a topic that needs to be studied deeply.This paper proposes a distributed storage and processing scheme based on time label partition and allocation for unstructured data with time labels is widely used.The corresponding simulation experiments show that the work in this paper is feasible and effective.
罗先录,叶小平(,),王千秋,李强. 基于LOP的分布式数据存储与查询技术[J]. 小型微型计算机系统, 2018, 39(11): 2497-2502.
LUO Xian-lu,YE Xiao-ping(,),WANG Qian-qiu,LI Qiang. Distributed Data Storage and Query Based on LOP. Journal of Chinese Computer Systems, 2018, 39(11): 2497-2502.
2018, Vol. 39 
