ACM Transactions on Computer Systems (TOCS)
A comparison of approaches to large-scale data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Hive: a warehousing solution over a map-reduce framework
Proceedings of the VLDB Endowment
Hadoop++: making a yellow elephant run like a cheetah (without it even noticing)
Proceedings of the VLDB Endowment
Morsa: a scalable approach for persisting and accessing large models
Proceedings of the 14th international conference on Model driven engineering languages and systems
ScalaLab: An Effective Scala-Based Scientific Programming Environment for Java
Computing in Science and Engineering
A wireless mesh sensing network for early warning
Journal of Network and Computer Applications
Type-Safe model transformation languages as internal DSLs in scala
ICMT'12 Proceedings of the 5th international conference on Theory and Practice of Model Transformations
Automated and transparent model fragmentation for persisting large models
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
Overview of the Modelling of the Physical World (MOTPW) Workshop at MODELS 2012
Proceedings of the Modelling of the Physical World Workshop
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We use a wireless sensor network equipped with acceleration sensors to measure seismic waves caused by rolling traffic. In this paper, we report on our experiences in applying an EMF-based data infrastructure to these experiments. We built an experimentation infrastructure that replaces unstructured text-file based management of data with a model-based approach. We use EMF to represent sensor data and corresponding analysis results; we use an extension of EMF's resource API to persist data in a database; and we use model transformations to describe data analysis. We conclude that a model based approach leads to safer, better documented, and more reproducible experiments.