Performance and usability tradeoff in a cluster display wall
| Autor: | Ismael Arroyo, Francesc Giné, Antoni Granollers, Concepció Roig |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Cluster display wall Performance Usability Modeling 020206 networking & telecommunications 020207 software engineering 02 engineering and technology computer.software_genre Visualization Software framework Hardware and Architecture Human–computer interaction Metric (mathematics) Scalability 0202 electrical engineering electronic engineering information engineering Cluster (physics) business Law computer Performance metric Software Galaxy cluster |
| Zdroj: | Recercat. Dipósit de la Recerca de Catalunya instname Repositorio Abierto de la UdL Universitad de Lleida |
| Popis: | Cluster-based display walls provide cost-effective and scalable display infrastructures with high resolution and large display area, making them suitable for a wide range of high-resolution applications. As a consequence, a wide offer of new cluster display-wall platforms together with their software frameworks have been proposed. Their performance and the satisfaction of their users have aroused the interest of some researchers. This work is focused on the Liquid Galaxy cluster display wall originally built to run Google Earth to create an immersive experience for the users. In this paper, the Liquid Galaxy is benchmarked running Google Earth, as a representative interactive application with high performance requirements, in different configurations and environments, to test the satisfaction, effectiveness and efficiency. Thus, we wish to know how users react to the system performance. In order to do so, we use a performance metric defined in previous research to relate the performance of the system with the user’s perception. Taking into account the trend of this metric in the experimentation, we model the behavior of the system in a way that the performance for any given visualization cluster running Google Earth could be predicted by using a reference system. This work was supported by the MEyC under contracts TIN2014-53234-C2-2-R and TIN2017-84553-C2-2-R. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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