Result: A genetic approach for adding QoS to distributed virtual environments

Title:
A genetic approach for adding QoS to distributed virtual environments
Authors:
RUEDA, S, MORILLO, P, ORDUNA, J. M, DUATO, J
Source:
Computer communications. 30(4):731-739
Publisher Information:
Amsterdam; New York, NY; Tokyo: Elsevier Science, 2007.
Publication Year:
2007
Physical Description:
print, 28 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme recherche, Search algorithm, Algoritmo búsqueda, Biomimétique, Biomimetics, Evaluation performance, Performance evaluation, Evaluación prestación, Génétique, Genetics, Genética, Méthode heuristique, Heuristic method, Método heurístico, Plus court chemin, Shortest path, Camino más corto, Qualité service, Service quality, Calidad servicio, Retard, Delay, Retraso, Routage, Routing, Enrutamiento, Réalité virtuelle, Virtual reality, Realidad virtual, Système réparti, Distributed system, Sistema repartido, Temps exécution, Execution time, Tiempo ejecución, Distributed virtual environments, Genetic algorithms, Quality of service
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Departamento de Informática, Universidad de Valencia, Spain
DISCA, Universidad Politécnica de Valencia, Spain
ISSN:
0140-3664
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18529349
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18529349
Database:
PASCAL Archive

Further Information

Distributed virtual environment (DVE) systems have been designed last years as a set of distributed servers. These systems allow a large number of remote users to share a single 3D virtual scene. In order to provide quality of service in a DVE system, clients should be properly assigned to servers taking into account system throughput and system latency. The latter one is composed of both network and computational delays. This highly complex problem is known as the quality of service (QoS) problem. In this paper, we study the implementation of a genetic algorithm (GA) for solving the QoS problem in DVE systems. Performance evaluation results show that, due to its ability of both finding good search paths and keeping diversity, this nature inspired technique can provide significantly better solutions than other heuristic methods while requiring shorter execution times. Therefore, the proposed implementation of GA search method can actually improve the QoS offered by DVE systems.