@inproceedings{e054bb3a012342aea62bac215abed4d4,
title = "Model-Driven Web Engineering Performance Prediction with Layered Queue Networks",
abstract = "This position paper describes an approach to predict the performances of a Web application already in the early stages of application development. It leverages the wealth of information of MDWE solutions to automatically obtain accurate representations of the running application in terms of layered queue networks (LQNs), i.e., analytical models simulating the behavior of the system and computing the performances mathematically. In particular, the paper discusses how a MDWE methodology can be exploited to generate such performance models and presents a proof of concept example.",
keywords = "capacity planning, layered queue networks, model transformation, performance, web engineering, WebML",
author = "Alessio Gambi and Giovanni Toffetti and Sara Comai",
note = "Funding Information: Acknowledgments. We wish to thank Antonio Carzaniga for his comments and suggestions. This work is partially supported by the European Community under the IST programme of the 7th FP for RTD - project RESERVOIR contract IST-215605.",
year = "2010",
doi = "10.1007/978-3-642-16985-4_3",
language = "English",
isbn = "3642169848",
volume = "6385",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "25--36",
editor = "Florian Daniel and Facca, {Federico Michele}",
booktitle = "Current Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers",
address = "Germany",
}