Investigating Apache Hama: a bulk synchronous parallel computing framework

The quantity of digital data is growing exponentially, and the task to efficiently process such massive data is becoming increasingly challenging. Recently, academia and industry have recognized the limitations of the predominate Hadoop framework in several application domains, such as complex algor...

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Veröffentlicht in:	The Journal of supercomputing 2017-09, Vol.73 (9), p.4190-4205
Hauptverfasser:	Siddique, Kamran, Akhtar, Zahid, Kim, Yangwoo, Jeong, Young-Sik, Yoon, Edward J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Compilers Computer networks Computer Science Data management Digital data Distributed processing Interpreters Parallel processing Processor Architectures Programming Languages R&D Research & development Researchers
Online-Zugang:	Volltext
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