Title
Idsl: Automated Performance Prediction And Analysis Of Medical Imaging Systems
Abstract
iDSL is a language and toolbox for performance prediction of Medical Imaging Systems; It enables system designers to automatically evaluate the performance of their designs, using advanced means of model checking and simulation techniques under the hood, and presents results graphically. In this paper, we present a performance evaluation approach based on iDSL that (i) relies on few measurements; (ii) evaluates many different design alternatives (so-called "designs"); (iii) provides understandable metrics; and (iv) is applicable to real complex systems. Next to that, iDSL supports advanced methods for model calibration as well as ways to aggregate performance results. An extensive case study on interventional X-ray systems shows that iDSL can be used to study the impact of different hardware platforms and concurrency choices on the overall system performance. Model validation conveys that the predicted results closely reflect reality.
Year
DOI
Venue
2015
10.1007/978-3-319-23267-6_15
COMPUTER PERFORMANCE ENGINEERING
Field
DocType
Volume
Aggregate function,Model checking,Nondeterministic algorithm,Computer science,Image processing,Artificial intelligence,Probabilistic logic,Unit of time,Computer engineering,Performance prediction,System model
Conference
9272
ISSN
Citations 
PageRank 
0302-9743
5
0.54
References 
Authors
9
3
Name
Order
Citations
PageRank
Freek van den Berg1203.38
Anne Remke217523.96
Boudewijn R. Haverkort31205117.45