Download now Free registration required
Many scientific fields routinely generate huge datasets. In many cases, these datasets are not static but rapidly grow in size. Handling these types of datasets, as well as allowing sophisticated queries necessitates efficient distributed database systems that allow geographically dispersed users to access resources and to use machines simultaneously in anytime and anywhere. This paper present the architecture, implementation and performance analysis of a scalable, distributed database system built on multicore systems. The system architecture makes use of software partitioning of the database based on data clustering, termed the SQMD (Single Query Multiple Database) mechanism, a web service interface and multicore server technologies.
- Format: PDF
- Size: 318.6 KB