TY - GEN
T1 - Towards scalable querying of large-scale models
AU - Barmpis, Konstantinos
AU - Kolovos, Dimitrios S.
N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
PY - 2014
Y1 - 2014
N2 - Hawk is a modular and scalable framework that supports monitoring and indexing large collections of models stored in diverse version control repositories. Due to the aggregate size of indexed models, providing a reliable, usable, and fast mechanism for querying Hawk's index is essential. This paper presents the integration of Hawk with an existing model querying language, discusses the efficiency challenges faced, and presents an approach based on the use of derived features and indexes as a means of improving the performance of particular classes of queries. The paper also reports on the evaluation of a prototype that implements the proposed approach against the Grabats benchmark query, focusing on the observed efficiency benefits in terms of query execution time. It also compares the size and resource use of the model index against one created without using such optimizations.
AB - Hawk is a modular and scalable framework that supports monitoring and indexing large collections of models stored in diverse version control repositories. Due to the aggregate size of indexed models, providing a reliable, usable, and fast mechanism for querying Hawk's index is essential. This paper presents the integration of Hawk with an existing model querying language, discusses the efficiency challenges faced, and presents an approach based on the use of derived features and indexes as a means of improving the performance of particular classes of queries. The paper also reports on the evaluation of a prototype that implements the proposed approach against the Grabats benchmark query, focusing on the observed efficiency benefits in terms of query execution time. It also compares the size and resource use of the model index against one created without using such optimizations.
KW - model querying
KW - model-driven engineering
KW - Scalability
UR - http://www.scopus.com/inward/record.url?scp=84958540064&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09195-2_3
DO - 10.1007/978-3-319-09195-2_3
M3 - Conference contribution
AN - SCOPUS:84958540064
SN - 9783319091945
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 35
EP - 50
BT - Modelling Foundations and Applications - 10th European Conference, ECMFA 2014, Held as Part of STAF 2014, Proceedings
PB - Springer
T2 - 10th European Conference on Modelling Foundations and Applications, ECMFA 2014, Held as Part of Software Technologies: Applications and Foundations, STAF 2014
Y2 - 21 July 2014 through 25 July 2014
ER -