Please use this identifier to cite or link to this item: doi:10.22028/D291-38757
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Title: FiVES: An Aspect-Oriented Virtual Environment Server
Author(s): Spieldenner, Torsten
Byelozyorov, Sergiy
Guldner, Michael
Slusallek, Philipp
Language: English
Title: 2017 International Conference on Cyberworlds (CW)
Pages: 103-110
Publisher/Platform: IEEE
Year of Publication: 2017
Free key words: FiVES
aspect-oriented Virtual environment server
Virtual Worlds
collaborative engineering
visualization
smart environments
large-scale virtual environment
connected sensors
server framework
Internet of Things sensors
sychronization layer
DDC notations: 004 Computer science, internet
Publikation type: Conference Paper
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 (IoT) sensors that emit their data in realtime, 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 crosscutting 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: 10.1109/CW.2017.15
URL of the first publication: https://doi.org/10.1109/CW.2017.15
Link to this record: urn:nbn:de:bsz:291--ds-387577
hdl:20.500.11880/34916
http://dx.doi.org/10.22028/D291-38757
ISBN: 978-1-5386-2089-2
Date of registration: 19-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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