In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows.
Solomon LasluisaFan ZhangTong JinIvan RoderoHoang BuiManish ParasharPublished in: Clust. Comput. (2015)
Keyphrases
- data intensive
- data management
- big data
- web services
- data processing
- earth science
- scientific data
- data access
- multiple objects
- globally distributed
- data mining
- geographically distributed
- database management systems
- cloud computing
- data objects
- scientific workflows
- real time
- grid computing
- data warehousing
- data analytics
- information technology
- database systems
- database
- quality of service
- business processes
- case study
- databases
- grid technology