Tulsa: A Tool for Transforming UML to Layered Queueing Networks for Performance Analysis of Data Intensive Applications [chapter]

Chen Li, Taghreed Altamimi, Mana Hassanzadeh Zargari, Giuliano Casale, Dorina Petriu
2017 Lecture Notes in Computer Science  
Motivated by the problem of detecting software performance anti-patterns in data-intensive applications (DIAs), we present a tool, Tulsa, for transforming software architecture models specified through UML into Layered Queueing Networks (LQNs), which are analytical performance models used to capture contention across multiple software layers. In particular, we generalize an existing transformation based on the Epsilon framework to generate LQNs from UML models annotated with the DICE profile,
more » ... ich extends UML to modelling DIAs based on technologies such as Apache Storm.
doi:10.1007/978-3-319-66335-7_18 fatcat:2ssm5xoyerdujjim3esvpqvxl4