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- W2002743105 abstract "Big Data is a modern phenomenon that promises to bring unprecedented economical benefits. Hadoop-like MapReduce implementations has gained a well deserved popularity by providing an open-source data management solution running on commodity PC clusters and with a potential of Big Data scale. Nevertheless, there are many critical problems, for which solutions based on HPCs, FPGA-enabled nodes and providing real-time guaranties may offer a cost-efficient solution for data processing. JUNIPER is a European research projects that is carried out by an international consortium aiming at developing a Big Data analysis platform. In this article, we present an integral part of JUNIPER - a modeling approach, which helps abstracting the data processing stages and wrap the communication between them. This approach is also applied to specify the timing constraints. We illustrate our approach on a real-life application of credit card transaction processing developed by petaFuel." @default.
- W2002743105 created "2016-06-24" @default.
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- W2002743105 date "2014-10-23" @default.
- W2002743105 modified "2023-10-05" @default.
- W2002743105 title "JUNIPER" @default.
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- W2002743105 doi "https://doi.org/10.1145/2687233.2687252" @default.
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