Finally, hierarchical attribute reduction algorithms are proposed in data and task parallel using MapReduce. Experimental results demonstrate that the proposed algorithms can scale well and efficiently process
it is often a good idea to continuously maintain data in sorted state using BigTable concepts. In other words, it can be more efficient to sort data once during insertion than sort them for each MapReduce query.
it is often a good idea to continuously maintain data in sorted state using BigTable concepts. In other words, it can be more efficient to sort data once during insertion than sort them for each MapReduce query.
Samza provides several APIs and presents an architecture similar to Hadoop, but instead of using MapReduce, it has the Samza API, and it uses Kafka instead of the Hadoop Distributed File System. Finally, Amazon KinesisFootnote 7 is the only framework presented in this article that does not ...
读《A Comparision of Join Algorithms for Log Processing in MapReduce》 这周组会我讲了《A Comparision of Join Algorithms for Log Processing in MapReduce》这篇文章,是2010年发在ACM SIGMOD国际数据管理会议上的,就是设计了一些数据的连接算法,然后为每种算法作了不同的预处理,测试性能,最后还测试了一...
In previous work, we presented the first MapReduce algorithm, consisting of alternating local and parallel phases, which can be used to effectively process the GKNN query when the Query fits in memory, while the Training one belongs to the Big Data category. In this paper, we present a ...
Cloud data center costs have become a hot topic in recent years. To minimize bandwidth costs, a better solution for uploading multiply deferrable big data to a cloud computing platform for processing using a MapReduce framework was studied. The multiply deferrable big data, which have its own ...
to covers this limitations, many researchers using this classification algorithm based on MapReduce. In this paper, we have studies these classification algorithms. then, we comparison with the traditional models. finally, highlighting the advantages of Mapreduce Models into traditional models. Keywords...
Evolutionary Algorithms in Health Technologies Distributed Centrality Analysis of Social Network Data Using MapReduce Compaction of Church Numerals A Novel Virtual Sample Generation Method to Overcome the Small Sample Size Problem in Computer Aided Medical Diagnosing Feedback-Based Integration of the ...
Tiwari, A. Malviya, Fuzzy based scalable clustering algorithms for handling big data using apache spark. IEEE Trans. Big Data 2(4), 339–352 (2016) Article Google Scholar J. Dean, S. Ghemawat, Mapreduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008...