Quality-Aware Development of Big Data Applications with DICE

被引：0
|
作者：
Casale, Giuliano [1 ]
Di Nitto, Elisabetta [2 ]
Jamshidi, Pooyan [1 ]
Tamburri, Damian A. [2 ]
机构：
[1] Imperial Coll London, London, England
[2] Politecn Milan, Milan, Italy
来源：
ADVANCES IN SERVICE-ORIENTED AND CLOUD COMPUTING (ESOCC 2016) | 2018年 / 707卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The DICE EU H2020 Project is exploring model-driven ways to support the continuous design and development of Quality-aware Data-Intensive applications (DIA) by means of DIA-specific quality analyses (e.g., performance, reliability, cost) applied on key DIA technologies (e.g., Hadoop, Storm or Spark). We outline the DICE toolchain and the challenges it addresses.
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收藏
页码：301 / 302
页数：2
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