Model-Driven Web Engineering Performance Prediction with Layered Queue Networks

Alessio Gambi, Giovanni Toffetti, Sara Comai

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung


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.

TitelCurrent Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers
Redakteure/-innenFlorian Daniel, Federico Michele Facca
Herausgeber (Verlag)Springer
ISBN (Print)3642169848, 9783642169847
PublikationsstatusVeröffentlicht - 2010
Extern publiziertJa


NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band6385 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349


Untersuchen Sie die Forschungsthemen von „Model-Driven Web Engineering Performance Prediction with Layered Queue Networks“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren