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Chen et al., 2017 - Google Patents

MapReduce for cloud computing

Chen et al., 2017

Document ID
17814439311461621796
Author
Chen Q
Guo M
Publication year
Publication venue
Task Scheduling for Multi-core and Parallel Architectures: Challenges, Solutions and Perspectives

External Links

Snippet

Cloud computing and Big data have attracted serious attention from both researchers and public users. For Cloud computing and Big data, MapReduce is one of the most widely-used scheduling model that automatically divides a job into a large amount of fine-grain tasks …
Continue reading at link.springer.com (other versions)

Classifications

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