iiHadoop: an asynchronous distributed framework for incremental iterative computations

iiHadoop: an asynchronous distributed framework for incremental iterative computations

Abstract It is true that data is never static; it keeps growing and changing over time. New data is added and old data can either be modified or deleted. This incremental nature of data motivates the development of new systems to perform large-scale data computations incrementally. MapReduce was rec...

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Bibliographic Details
Main Authors: Afaf G. Bin Saadon, Hoda M. O. Mokhtar
Format: Article
Language:English
Published: SpringerOpen 2017-07-01
Series:Journal of Big Data
Subjects:
Big data
Distributed systems
Hadoop framework
Iterative processing
Incremental computation
Online Access:http://link.springer.com/article/10.1186/s40537-017-0086-3

Internet

http://link.springer.com/article/10.1186/s40537-017-0086-3

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