Publication | Closed Access
The DataPath system
100
Citations
22
References
2010
Year
Unknown Venue
EngineeringReal-time DatabaseComputer ArchitectureDatabase ScalabilityDatabase SystemsIn-memory DatabasesData ScienceDatabase ProcessingData-intensive PlatformManagementData IntegrationParallel ComputingData ManagementDatapath SystemData ModelingComputer EngineeringComputer ScienceData-intensive ComputingHigh LatencyData AccessCloud ComputingData VirtualizationParallel ProgrammingFile SystemLatency CostsSystem SoftwareBig Data
Since the 1970's, database systems have been "compute-centric". When a computation needs the data, it requests the data, and the data are pulled through the system. We believe that this is problematic for two reasons. First, requests for data naturally incur high latency as the data are pulled through the memory hierarchy, and second, it makes it difficult or impossible for multiple queries or operations that are interested in the same data to amortize the bandwidth and latency costs associated with their data access.
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