MapReduce Parallel Programming Model: A State-of-the-Art Survey

With the development of information technologies, we have entered the era of Big Data. Google’s MapReduce programming model and its open-source implementation in Apache Hadoop have become the dominant model for data-intensive processing because of its simplicity, scalability, and fault tolerance. Ho...

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Veröffentlicht in:	International journal of parallel programming Jg. 44; H. 4; S. 832 - 866
Hauptverfasser:	Li, Ren, Hu, Haibo, Li, Heng, Wu, Yunsong, Yang, Jianxi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2016 Springer Nature B.V
Schlagworte:	Algorithms Analysis Batch processing Big Data Cloud computing Computer programming Computer Science Data processing Design Employment Fault tolerance Flexibility Freeware Information technology Mathematical models Open source software Optimization Parallel programming Processor Architectures Run time (computers) Scalability Science Semantic web Software Engineering/Programming and Operating Systems Source code Studies Theory of Computation Utility computing Cloud computing Big data Scalability Hadoop MapReduce
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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