Automated and Transparent Model Fragmentation for Persisting Large Models

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Abstract—It is hard to experiment with test-beds for communi- cation networks: data produced in the network has to be retrieved and analyzed, networks must be reconfigured before and between experiments, data is often little structured (log-files) and analysis methods and tools are generic. Even though many problems of experimentation are the same for all experiments, re-use is sparse and even simple experiments require large efforts.

We present a framework that attempts to solve these problems: we define a set of requirements for experimenting with network test-beds, we describe the principles and inner workings of our framework, demonstrate it with a typical example experiment, and present measurement results that illustrate the feasibility and scalability of our approach. Some qualitative and quantitative aspects of ClickWatch are compared to the commonly used log- file based approach to experimentation.

Keywordsmeta-modeling, model-persistence, EMF, big-data, cloud, map-reduce

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@inproceedings{DBLP:conf/models/ScheidgenZFK12,
  author    = {Markus Scheidgen and
               Anatolij Zubow and
               Joachim Fischer and
               Thomas H. Kolbe},
  title     = {Automated and Transparent Model Fragmentation for Persisting
               Large Models},
  booktitle = {MoDELS},
  year      = {2012},
  pages     = {102-118},
  ee        = {http://dx.doi.org/10.1007/978-3-642-33666-9_8},
  crossref  = {DBLP:conf/models/2012},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
@proceedings{DBLP:conf/models/2012,
  editor    = {Robert B. France and
               J{\"u}rgen Kazmeier and
               Ruth Breu and
               Colin Atkinson},
  title     = {Model Driven Engineering Languages and Systems - 15th International
               Conference, MODELS 2012, Innsbruck, Austria, September 30-October
               5, 2012. Proceedings},
  booktitle = {MoDELS},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {7590},
  year      = {2012},
  isbn      = {978-3-642-33665-2},
  ee        = {http://dx.doi.org/10.1007/978-3-642-33666-9},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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