Towards a model-driven design tool for big data architectures

M Guerriero, S Tajfar, DA Tamburri… - Proceedings of the 2nd …, 2016 - dl.acm.org
Proceedings of the 2nd international workshop on BIG data software engineering, 2016dl.acm.org
Big Data technologies are rapidly becoming a key enabler for modern industries. However,
the entry costs inherent to" going Big" are considerable, ranging from learning curve,
renting/buying infrastructure, etc. A key component of these costs is the time spent on
learning about and designing with the many big data frameworks (eg, Spark, Storm,
HadoopMR, etc.) on the market. To reduce said costs while decreasing time-to-market we
advocate the usage of Model-Driven Engineering (MDE), ie, software engineering by means …
Big Data technologies are rapidly becoming a key enabler for modern industries. However, the entry costs inherent to "going Big" are considerable, ranging from learning curve, renting/buying infrastructure, etc. A key component of these costs is the time spent on learning about and designing with the many big data frameworks (e.g., Spark, Storm, HadoopMR, etc.) on the market. To reduce said costs while decreasing time-to-market we advocate the usage of Model-Driven Engineering (MDE), i.e., software engineering by means of models and their automated manipulation. This paper outlines a tool architecture to support MDE for big data applications, illustrating with a case-study.
ACM Digital Library
Showing the best result for this search. See all results