Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements (DICE)

12th April 2016

ioan

Ioan Dragan

Postdoctoral Researcher


10:00  -  10:30
DCU Business School, Q302

Recent years have seen rapid growth of interest for cloud applications built on top of Big data technologies such as MapReduce/Hadoop, NoSQL databases, cloud-based storage or stream processing. Although this is the trend, there is still a shortage of models, methods and tools that are aimed at analysing, predicting and guaranteeing efficiency, reliability and safety in data intensive software systems. DICE defines a quality-aware model-driven framework for developing Big data applications.


Session Category :  Cloud Performance Analytics and Monitoring