Loading…

Data Consistency in Distributed Virtual Reality Simulations Applied to Biology

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, deve...

Full description

Saved in:
Bibliographic Details
Main Authors: Bourhis, M., Desmeulles, G., Bonneaud, S., Guerrero, F., Rodin, V.
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 161
container_issue
container_start_page 154
container_title
container_volume
creator Bourhis, M.
Desmeulles, G.
Bonneaud, S.
Guerrero, F.
Rodin, V.
description 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.
doi_str_mv 10.1109/ICAS.2009.19
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4976597</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4976597</ieee_id><sourcerecordid>4976597</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-22413a9d3f82c840768ac83c3f4e8eb230725cae12117fdf7e5408ec71a61c0a3</originalsourceid><addsrcrecordid>eNo9j0tLw0AUhccXWGp27tzMH0icO-9Z1tYXFAWrbstkMpELaVOS6SL_3kHF1TlwHvARcg2sAmDu9nm52FScMVeBOyGFM5YZ7ZRQVqpTMuOgbQnW8LOfDCSXUmgr-fl_puUlKcYRa8a10cowNyMvK588Xfb7EccU92GiuKer7Aesjyk29BOHdPQdfYu-wzTRDe6OnU-YF3RxOHSYO6mnd9h3_dd0RS5a342x-NM5-Xi4f18-levXxwywLhGMSiXnEoR3jWgtD1ZmEOuDFUG0MtpYc8EMV8FH4ACmbVoTlWQ2BgNeQ2BezMnN7y_GGLeHAXd-mLbSZSxnxDfnllMd</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Data Consistency in Distributed Virtual Reality Simulations Applied to Biology</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Bourhis, M. ; Desmeulles, G. ; Bonneaud, S. ; Guerrero, F. ; Rodin, V.</creator><creatorcontrib>Bourhis, M. ; Desmeulles, G. ; Bonneaud, S. ; Guerrero, F. ; Rodin, V.</creatorcontrib><description>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.</description><identifier>ISSN: 2168-1864</identifier><identifier>ISBN: 9781424436842</identifier><identifier>ISBN: 1424436842</identifier><identifier>EISSN: 2168-1872</identifier><identifier>EISBN: 9780769535845</identifier><identifier>EISBN: 0769535844</identifier><identifier>DOI: 10.1109/ICAS.2009.19</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biological system modeling ; biology ; Biology computing ; Computational biology ; Computational modeling ; Computer simulation ; consistency ; Context modeling ; Distributed computing ; distributed simulation ; Grid computing ; peer to peer ; Peer to peer computing ; Virtual reality</subject><ispartof>2009 Fifth International Conference on Autonomic and Autonomous Systems, 2009, p.154-161</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4976597$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4976597$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Bourhis, M.</creatorcontrib><creatorcontrib>Desmeulles, G.</creatorcontrib><creatorcontrib>Bonneaud, S.</creatorcontrib><creatorcontrib>Guerrero, F.</creatorcontrib><creatorcontrib>Rodin, V.</creatorcontrib><title>Data Consistency in Distributed Virtual Reality Simulations Applied to Biology</title><title>2009 Fifth International Conference on Autonomic and Autonomous Systems</title><addtitle>ICAS</addtitle><description>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.</description><subject>Biological system modeling</subject><subject>biology</subject><subject>Biology computing</subject><subject>Computational biology</subject><subject>Computational modeling</subject><subject>Computer simulation</subject><subject>consistency</subject><subject>Context modeling</subject><subject>Distributed computing</subject><subject>distributed simulation</subject><subject>Grid computing</subject><subject>peer to peer</subject><subject>Peer to peer computing</subject><subject>Virtual reality</subject><issn>2168-1864</issn><issn>2168-1872</issn><isbn>9781424436842</isbn><isbn>1424436842</isbn><isbn>9780769535845</isbn><isbn>0769535844</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo9j0tLw0AUhccXWGp27tzMH0icO-9Z1tYXFAWrbstkMpELaVOS6SL_3kHF1TlwHvARcg2sAmDu9nm52FScMVeBOyGFM5YZ7ZRQVqpTMuOgbQnW8LOfDCSXUmgr-fl_puUlKcYRa8a10cowNyMvK588Xfb7EccU92GiuKer7Aesjyk29BOHdPQdfYu-wzTRDe6OnU-YF3RxOHSYO6mnd9h3_dd0RS5a342x-NM5-Xi4f18-levXxwywLhGMSiXnEoR3jWgtD1ZmEOuDFUG0MtpYc8EMV8FH4ACmbVoTlWQ2BgNeQ2BezMnN7y_GGLeHAXd-mLbSZSxnxDfnllMd</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Bourhis, M.</creator><creator>Desmeulles, G.</creator><creator>Bonneaud, S.</creator><creator>Guerrero, F.</creator><creator>Rodin, V.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200904</creationdate><title>Data Consistency in Distributed Virtual Reality Simulations Applied to Biology</title><author>Bourhis, M. ; Desmeulles, G. ; Bonneaud, S. ; Guerrero, F. ; Rodin, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-22413a9d3f82c840768ac83c3f4e8eb230725cae12117fdf7e5408ec71a61c0a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Biological system modeling</topic><topic>biology</topic><topic>Biology computing</topic><topic>Computational biology</topic><topic>Computational modeling</topic><topic>Computer simulation</topic><topic>consistency</topic><topic>Context modeling</topic><topic>Distributed computing</topic><topic>distributed simulation</topic><topic>Grid computing</topic><topic>peer to peer</topic><topic>Peer to peer computing</topic><topic>Virtual reality</topic><toplevel>online_resources</toplevel><creatorcontrib>Bourhis, M.</creatorcontrib><creatorcontrib>Desmeulles, G.</creatorcontrib><creatorcontrib>Bonneaud, S.</creatorcontrib><creatorcontrib>Guerrero, F.</creatorcontrib><creatorcontrib>Rodin, V.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bourhis, M.</au><au>Desmeulles, G.</au><au>Bonneaud, S.</au><au>Guerrero, F.</au><au>Rodin, V.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Data Consistency in Distributed Virtual Reality Simulations Applied to Biology</atitle><btitle>2009 Fifth International Conference on Autonomic and Autonomous Systems</btitle><stitle>ICAS</stitle><date>2009-04</date><risdate>2009</risdate><spage>154</spage><epage>161</epage><pages>154-161</pages><issn>2168-1864</issn><eissn>2168-1872</eissn><isbn>9781424436842</isbn><isbn>1424436842</isbn><eisbn>9780769535845</eisbn><eisbn>0769535844</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICAS.2009.19</doi><tpages>8</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2168-1864
ispartof 2009 Fifth International Conference on Autonomic and Autonomous Systems, 2009, p.154-161
issn 2168-1864
2168-1872
language eng
recordid cdi_ieee_primary_4976597
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Biological system modeling
biology
Biology computing
Computational biology
Computational modeling
Computer simulation
consistency
Context modeling
Distributed computing
distributed simulation
Grid computing
peer to peer
Peer to peer computing
Virtual reality
title Data Consistency in Distributed Virtual Reality Simulations Applied to Biology
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T12%3A15%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Data%20Consistency%20in%20Distributed%20Virtual%20Reality%20Simulations%20Applied%20to%20Biology&rft.btitle=2009%20Fifth%20International%20Conference%20on%20Autonomic%20and%20Autonomous%20Systems&rft.au=Bourhis,%20M.&rft.date=2009-04&rft.spage=154&rft.epage=161&rft.pages=154-161&rft.issn=2168-1864&rft.eissn=2168-1872&rft.isbn=9781424436842&rft.isbn_list=1424436842&rft_id=info:doi/10.1109/ICAS.2009.19&rft.eisbn=9780769535845&rft.eisbn_list=0769535844&rft_dat=%3Cieee_6IE%3E4976597%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-22413a9d3f82c840768ac83c3f4e8eb230725cae12117fdf7e5408ec71a61c0a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4976597&rfr_iscdi=true