Please use this identifier to cite or link to this item: doi:10.22028/D291-38749
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Title: FiVES: an aspect-oriented approach for shared virtual environments in the web
Author(s): Spieldenner, Torsten
Byelozyorov, Sergiy
Guldner, Michael
Slusallek, Philipp
Language: English
Title: The Visual Computer
Volume: 34
Issue: 9
Pages: 1269–1282
Publisher/Platform: Springer Nature
Year of Publication: 2018
Free key words: Virtual environments
Aspect-oriented design
Virtual worlds
Shared virtual environments
Distributed virtual environments
Virtual world server
Multiuser environments
3D web
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
Abstract: Virtual Environments have become a compelling tool for various applications beyond gaming and Virtual Worlds, for example, for education, collaborative engineering, or simulation and visualization. In the emerging field of smart environments, like Smart Cities and Smart Factories for industry or agriculture, a digital counterpart of a real-world site, driven by hundreds of Internet of Things sensors that emit their data in real-time, is a central part of the application. Maintaining such a large-scale virtual environment and keeping it up-to-date with changing requirements set by connected sensors and services is a challenge. For this, we present FiVES, a server framework that is based on an aspect-oriented architecture to create highly maintainable large-scale virtual environments by avoiding cross-cutting concerns like tangling or scattering of code between modules in resulting applications. We present a fully functional implementation of our system that builds on an extendable and versatile data model, a flexible plugin mechanism, and a transparent yet efficient synchronization layer that is independent of the modules from which applications are assembled.
DOI of the first publication: 10.1007/s00371-018-1564-0
URL of the first publication: https://doi.org/10.1007/s00371-018-1564-0
Link to this record: urn:nbn:de:bsz:291--ds-387492
hdl:20.500.11880/34910
http://dx.doi.org/10.22028/D291-38749
ISSN: 1432-2315
0178-2789
Date of registration: 18-Jan-2023
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Philipp Slusallek
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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