Thus, the present work dissects the execution of Hadoop MapReduce atop VCC-based scenarios. The experimental analysis discusses the execution time of Hadoop ...
Feb 24, 2024 · MapReduce framework in Hadoop is used to analyze the large set of data in a distributed storage system. MapReduce jobs are designate to the task ...
Abstract. Among the existing applications for processing massive vol- umes of data, the Hadoop MapReduce (HMR) is widely used in clouds,.
Among the existing applications for processing massive volumes of data, the Hadoop MapReduce (HMR) is widely used in clouds, having above all internal ...
This work characterizes the VCC impact on HMR on scenarios in which there are present applications competing for network resources using optimized and ...
Missing: Execution | Show results with:Execution
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What is the application of MapReduce in Hadoop?
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Resumo—Information production increment has implied on increasing of the amount and size of Data Centers (DCs) to meet this demand.
Ermanevaluates two unsupervised clustering algorithms, namely K-Means and DBSCAN, and compares them to other previously used automatic classification algorithm.
The main work of the name node is to monitor the working of data nodes and maintain all the metadata i.e. several data blocks, block locations, free nodes, ...
Missing: Control | Show results with:Control
Analysis of Virtualized Congestion Control in Applications Based on Hadoop MapReduce. Published in Communications in Computer and Information Science (CCIS) ...
Missing: Execution | Show results with:Execution
scheduling the program's execution across a set of machines, handling ... Hadoop, staging data, monitoring job execution, instantiating new virtual ...
Missing: Congestion | Show results with:Congestion