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Research on Dynamic Modeling and Grid-Based Virtual Reality

Authors: Luliang Tang; Qingquan Li 0001;

Research on Dynamic Modeling and Grid-Based Virtual Reality

Abstract

It is publicly considered that the next generational Internet technology is grid computing, which supports the sharing and coordinated use of diverse resources in dynamic virtual organizations from geographically and organizationally distributed components. Grid computing characters strong computing ability and broad width information exchange[1]. Globus presented Open Grid Services Architecture (OGSA), which centered on grid services[3]. According to the characteristic of Grid-based Virtual Reality (GVR) and the development of current grid computing, this paper put forward the Orient-Grid Distributed Network Model for GVR, whose dynamic Virtual group is corresponding with the Virtual Organization in OGSA service. The GDNM is of more advantage to the distributed database consistency management, and is more convenient to the virtual group users acquiring the GVR data information, and the dynamic virtual groups in GDNM are easier and more directly to utilize the grid source and communication each other. The architecture of GVR designed in this paper is based on OGSA and web services, which is based on the OGSA. This architecture is more convenient to utilizing grid service and realizing the GVR. This paper put forward the method of virtual environment Object-oriented Dynamic Modeling (OODM) based on Problem Solving (PS), which is applied with dynamic digital terrain and dynamic object modeling. This paper presents the implementation of GVR and the interfaces of Grid Service.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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