DocumentCode
1598786
Title
Data Consistency in Distributed Virtual Reality Simulations Applied to Biology
Author
Bourhis, Mikaë ; Desmeulles, Gireg ; Bonneaud, Stéphane ; Guerrero, François ; Rodin, Vincent
Author_Institution
Eur. Univ. of Brittany - UEB, Rennes
fYear
2009
Firstpage
154
Lastpage
161
Abstract
We perform biological simulations in the virtual reality context. In order to run large simulations, we choose to put together a set of standard computers and create a grid in charge of distributing the biological simulations. We propose to make the distribution on to the ReISCOP generic model, developed in our laboratory, which allows us to easily design biological simulations. This method is also based on the replication of passive elements. It is a spatial distribution in which local simulations are periodically synchronized and the consistency of replicated data is checked. This synchronization is not a strong synchronization but a weak one. The consistency method is built on the transmission between nodes of the grid of the state variations of the data. The software used for distributing simulations is named DIVA, and is an individual based software located on each node of the grid. DIVA confers a peer to peer architecture upon the grid.
Keywords
biology computing; data integrity; grid computing; peer-to-peer computing; virtual reality; biological simulation; data consistency; distributed virtual reality simulation; grid computing; passive element replication; peer to peer architecture; spatial distribution; Biological system modeling; Biology computing; Computational biology; Computational modeling; Computer simulation; Context modeling; Distributed computing; Grid computing; Peer to peer computing; Virtual reality; biology; consistency; distributed simulation; peer to peer; virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomic and Autonomous Systems, 2009. ICAS '09. Fifth International Conference on
Conference_Location
Valencia
Print_ISBN
978-1-4244-3684-2
Electronic_ISBN
978-0-7695-3584-5
Type
conf
DOI
10.1109/ICAS.2009.19
Filename
4976597
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