Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning.
Marek GrzegorowskiEftim ZdravevskiAndrzej JanuszPetre LameskiCas ApanowiczDominik SlezakPublished in: Big Data Res. (2021)
Keyphrases
- query processing
- big data
- dynamic scheduling
- data management
- database systems
- data processing
- cloud computing
- flexible manufacturing systems
- big data analytics
- high volume
- data warehousing
- database management systems
- process planning
- data science
- data analysis
- social media
- business intelligence
- information processing
- real time
- query language
- information retrieval
- knowledge discovery
- decision making
- social networks
- case study
- knowledge acquisition
- databases
- management system