Evaluating the impact of data placement to spark and SciDB with an Earth Science use case.
Khoa DoanAmidu O. OlosoKwo-Sen KuoThomas L. CluneHongfeng YuBrian NelsonJian ZhangPublished in: IEEE BigData (2016)
Keyphrases
- data placement
- earth science
- earth science data
- high availability
- query optimization
- data intensive
- remote sensing
- distributed environment
- access patterns
- data center
- geospatial data
- data storage
- storage systems
- distributed database systems
- metadata
- xml queries
- distributed databases
- object oriented
- fault tolerance
- b tree
- data integration
- response time
- data mining