Publication | Closed Access
WebMapReduce
28
Citations
3
References
2011
Year
Unknown Venue
Cluster ComputingHadoop ImplementationEngineeringData ScienceCloud ComputingComputer EngineeringParallel ProgrammingComputer ScienceScheme ComputationsDistributed Data ProcessingParallel ComputingMap-reduceData-intensive ComputingSystem SoftwareMassive Data ProcessingDistributed ProcessingBig Data
WebMapReduce (WMR) is a strategically simplified user interface for the Hadoop implementation of the map-reduce model for distributed computing on clusters, designed so that novice programmers in an introductory CS courses can perform authentic data-intensive scalable computations using the programming language they are learning in their course. The open-source WMR software currently supports Java, C++, Python, and Scheme computations, and can readily be extended to support additional programming languages, and configured to adapt to the practices at a particular institution for teaching introductory programming. Potential applications in courses at all undergraduate levels are indicated, and implementation of the WMR software is described.
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