JUNIPER

Autor: Alessandra Bagnato, Ludwig Adam, Andrey Sadovykh, Marcos Aurélio Almeida da Silva, Alexey Cheptsov
Rok vydání: 2014
Předmět:
Zdroj: Proceedings of the 10th Central and Eastern European Software Engineering Conference in Russia.
DOI: 10.1145/2687233.2687252
Popis: 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.
Databáze: OpenAIRE
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