Paper Info
Title
Distributed Augmented Reality Systems: How Much Performance is Enough?
Abstract
This paper presents architectural performance requirements for a framework dedicated to Augmented Reality (AR) applications. This work has been made as a starting point to evaluation of a framework named ARCS (Augmented Reality Component Systems) allowing rapid-prototyping, development, debugging and monitoring of AR applications. The article first introduces the need of such a dedicated framework and the importance of distribution for AR. It also identifies main features that should be offered by an AR framework and key performance criteria to be satisfied. These are partially inspired by the SPE (Software Performance Engineering) distributed architecture evaluation approach. These criteria are application specific. Thus, we first classify different distributed AR applications in scenarios and extract relevant criteria for each. We also provide a custom assessment protocol inspired by SPE evaluation methodology and based on previously identified criteria. This assessment is application independent as it is based on generic design patterns and most likely scenarios of distribution. Keeping in mind identified criteria and handling existing framework's constraints, a reliable generic AR framework should satisfy all criteria for each application class. Assessment protocol results for each criterion are compared to the typical features and performance that should be offered by an AR system.
Year
DOI
Venue
2012
10.1109/ICMEW.2012.64
ICME Workshops
Keywords
Field
DocType
ar system,ar framework,existing framework,ar application,spe evaluation methodology,application specific,augmented reality,application class,dedicated framework,reliable generic ar framework,arcs,data preprocessing,software architecture,data visualization,computer architecture,distributed architecture,evaluation,protocols,feature extraction,distributed processing,software performance,design patterns,object oriented programming
Computer science,Data pre-processing,Software design pattern,Software performance testing,Augmented reality,Artificial intelligence,Pattern recognition,Software engineering,Object-oriented programming,Software prototyping,Software architecture,Embedded system,Debugging
Conference
ISSN
Citations 
PageRank 
2330-7927
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Mehdi Chouiten171.63
Jean-yves Didier27013.14
Malik Mallem315229.74