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Parallel Execution of Data-intensive Web Services Based on Data-flow Constructs and I/O Operation Ratio
2014
International Journal of Database Theory and Application
Data-intensive applications, such as data mining and data visualization, need to deal with huge amount of data. Service-oriented architecture, on the other hand, offers a scalable and flexible framework to implement loosely-coupled and standards-based distribute computing which the data-intensive applications usually require. In this paper, we apply four kinds of data-flow constructs, namely Map Construct, Reduce Construct, Conditional Construct and Loop Construct, to assist Web services
doi:10.14257/ijdta.2014.7.4.10
fatcat:zcddrfqxinb5rgggny2ngnaud4