Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
Journal of Parallel and Distributed Computing
JXTA: A Network Programming Environment
IEEE Internet Computing
A Taxonomy for Networked Virtual Environments
IEEE MultiMedia
NPSNET-V: A New Beginning for Dynamically Extensible Virtual Environments
IEEE Computer Graphics and Applications
Toward a Peer-to-Peer Shared Virtual Reality
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Integrating fault-tolerance techniques in grid applications
Integrating fault-tolerance techniques in grid applications
Brain Meets Brawn: Why Grid and Agents Need Each Other
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Future Generation Computer Systems - Special issue: P2P computing and interaction with grids
ACSW Frontiers '06 Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54
Towards self-organization in multi-agent systems and Grid computing
Multiagent and Grid Systems
Rudder: An agent-based infrastructure for autonomic composition of grid applications
Multiagent and Grid Systems
Using P2P, GRID and Agent technologies for the development of content distribution networks
Future Generation Computer Systems
Large Scale Distributed Virtual Environments on the Grid: Design, Implementation, and a Case Study
Computer Supported Cooperative Work in Design IV
Data Consistency in Distributed Virtual Reality Simulations Applied to Biology
ICAS '09 Proceedings of the 2009 Fifth International Conference on Autonomic and Autonomous Systems
Agents and peer-to-peer computing: a promising combination of paradigms
AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing
ICECE '10 Proceedings of the 2010 International Conference on Electrical and Control Engineering
The SIMNET virtual world architecture
VRAIS '93 Proceedings of the 1993 IEEE Virtual Reality Annual International Symposium
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
The organic grid: self-organizing computation on a peer-to-peer network
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Virtual Reality is becoming increasingly necessary to study complex systems such as biological systems. Thanks to Virtual Reality, the user is placed at the heart of biological simulations and can carry out experiments as if he were under the same experimental conditions as in vivo or in vitro. We usually call this kind of experiments in virtuo experiments.In order to rapidly develop Virtual Reality applications related to biology, we have already proposed the RéISCOP meta model which makes it possible to easily design biological simulations and undertake in virtuo experiments. This meta model allows to describe a biological system as a composition of its sub-systems and the interactions between the constituents of these sub-systems.Unfortunately, when using a single computer, the number of simulated entities is far from what is needed in biological simulations. It seemed thus necessary to extend the RéISCOP meta model so that it allows distributed computing on a grid. We made this choice because the structure of the RéISCOP meta model is well adapted to a distribution on a grid where the sub-systems which compose a system can be dispatched on different nodes, the synchronization and the coherence of the system being ensured by a Peer-to-Peer architecture. Unlike traditional approaches which propose a spatial distribution, the method we describe in this paper is based on an "organizational" distribution linked to the RéISCOP meta model. This "organizational" distribution is mainly ensured by using two efficient algorithms based on a dead reckoning method, one for a data consistency between nodes and one for a weak synchronization of the nodes involved. These two algorithms are integrated into the behaviors of agents DIVAs which are located on each node of the grid. These agents are able to communicate by using a Peer-to-Peer architecture upon the grid. In order to validate our approach, we implement three distributed simulations with increasing complexities and we compare the results with the results obtained in the non-distributed simulations. We get very similar results for the distributed and the non-distributed simulations.