Memory requirements of hadoop, spark, and MPI based big data applications on commodity server class architectures.
Hosein Mohammadi MakraniHouman HomayounPublished in: IISWC (2017)
Keyphrases
- big data
- memory requirements
- cloud computing
- commodity hardware
- memory space
- data intensive
- big data analytics
- data analysis
- data science
- data management
- unstructured data
- memory usage
- high volume
- social media
- knowledge discovery
- vast amounts of data
- massive data
- business intelligence
- data processing
- computational complexity
- parallel computing
- data warehousing
- computational speed
- map reduce
- message passing
- data driven decision making
- shared memory
- parallel algorithm
- general purpose
- data sets
- high performance computing
- massively parallel
- database
- social computing
- decision support system
- distributed systems
- information technology