[1] 王珊, 王会举. 架构大数据: 挑战、现状与展望[J]. 计算机学报, 2011, 34(10): 1741-1751. WANG S, WANG H J. Architecting big data: challenges, studies and forecasts [J]. Chinese Journal of Computers, 2011, 34(10):1741-1751. [2] 孟小峰, 慈祥. 大数据管理:概念、技术与挑战[J]. 计算机研究与发展, 2013, 50(1): 146-169. MENG X F, CI X. Big data management: concepts, techniques and challenges[J]. Journal of Computer Research and Development, 2013, 50(1):146-159. [3] 陈吉荣, 乐嘉锦. 基于Hadoop生态系统的大数据解决方案综述[J]. 计算机工程与科学, 2013, 35(10): 25-35. CHEN J R, LE J J. Reviewing the big data solution based on Hadoop ecosystem[J]. Computer Engineering & Science, 2013, 35(10):25-35. [4] LARS G. HBase: the definitive guide[M]. Sebastopol: O’REILLY, 2011. [5] ZIKOPOULOS P C, EATON C, DEROOS D, et al. Understanding big data: analytics for enterprise class Hadoop and streaming data[M]. New Youk: McGraw-Hill, 2012. [6] AIYER A, BAUTIN M, CHEN G J, et al. Storage Infrastructure Behind Facebook Messages Using HBase at Scale[J]. Bulletin of the Technical Committee on Data Engineering, 2012, 35(2):996-999. [7] VENNER J. Pro Hadoop[M]. Berkeley: Appress,2009. [8] 蔡睿诚. 基于HDFS的小文件处理与相关MapReduce计算模型性能的优化与改进[D]. 长春:吉林大学, 2012. [9] LU W, SHEN Y Y,CHEN S, et al. Efficient processing of k nearest neighbor joins using MapReduce[J]. PVLDB, 2016, 5(10): 1184-195. [10] PANSARE N, BORKAR V R, JERMAINE C, et al. Online aggregation for large MapReduce jobs[J]. PBLDB, 2014, 4(11): 1135-1145. [11] OKCAN I, RIEDEWALD M. Processing theta-joins using MapReduce[C] //ACM SIGMOD International Conference on Management of Data. ACM, 2011:949-960. [12] AFRARTI F N, DAS S A, MENESTRINA D, et al. Fuzzy joins using MapReduce[C] //IEEE International Conference on Data Engineering. IEEE, 2012:498-509. [13] ZHANG X F, SHEN L, WANG M. Efficient multi-way theta-join processing using MapReduce[J]. PVLDB, 2016, 5(11): 1184-1195. [14] BABU S. Towards automatic optimization of MapReduce programs[C] //ACM Symposium on Cloud Computing. ACM, 2010:137-142. [15] SILBA Y N, REED J M. Exploiting MapReduce based similarity joins[C] //ACM SIGMOD International Conference on Management of Data. ACM, 2012:693-696.
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