Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model
Author:
Affiliation:
1. Norwegian University of Science and Technology,Norway
2. SINTEF Digital,Norway
3. KTH Royal Institute of Technology,Sweden
4. University of Klagenfurt,Austria
5. OsloMet - Oslo Metropolitan University,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10061710/10061713/10061837.pdf?arnumber=10061837
Reference18 articles.
1. An improved data placement strategy for hadoop;wei-wei;Journal of South China University of Technology (Natural Science Edition),2012
2. A Dynamic Data Placement Strategy for Hadoop in Heterogeneous Environments
3. A Data Placement Strategy Based on Genetic Algorithm for Scientific Workflows
4. Improving mapreduce performance through data placement in heterogeneous hadoop clusters;xie;Proc of the IPDPSW 2012,2010
5. A data placement strategy in scientific cloud workflows
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1. Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines;Sensors;2023-01-04
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