TY - GEN
T1 - Towards incremental updates in large-scale model indexes
AU - Barmpis, Konstantinos
AU - Shah, Seyyed
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 - 2015/7/17
Y1 - 2015/7/17
N2 - Hawk is a modular and scalable framework that supports monitoring and indexing large collections of models stored in diverse version control repositories. As such models are likely to evolve over time, responding to change in an efficient manner is of paramount importance. This paper presents the incremental update process in Hawk and discusses the efficiency challenges faced. The paper also reports on the evaluation of Hawk against an existing large-scale benchmark, focusing on the observed efficiency benefits in terms of update time; it compares the time taken when using this approach against the naive approach used beforehand, and discusses the benefits of combining the two, gaining improvements averaging a 70.7% decrease in execution time.
AB - Hawk is a modular and scalable framework that supports monitoring and indexing large collections of models stored in diverse version control repositories. As such models are likely to evolve over time, responding to change in an efficient manner is of paramount importance. This paper presents the incremental update process in Hawk and discusses the efficiency challenges faced. The paper also reports on the evaluation of Hawk against an existing large-scale benchmark, focusing on the observed efficiency benefits in terms of update time; it compares the time taken when using this approach against the naive approach used beforehand, and discusses the benefits of combining the two, gaining improvements averaging a 70.7% decrease in execution time.
UR - http://www.scopus.com/inward/record.url?scp=84949945622&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-21151-0_10
DO - 10.1007/978-3-319-21151-0_10
M3 - Conference contribution
AN - SCOPUS:84949945622
SN - 9783319211503
VL - 9153
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 137
EP - 153
BT - Modelling Foundations and Applications - 11th European Conference, ECMFA 2015 Held as Part of STAF 2015, Proceedings
PB - Springer
T2 - 11th European Conference on Modelling Foundations and Applications, ECMFA 2015 Held as Part of International Conference on Software Technologies: Applications and Foundations, STAF 2015
Y2 - 20 July 2015 through 24 July 2015
ER -