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A novel data distribution management scheme to support synchronization in large-scale distributed virtual environments

机译:一种支持大规模分布式虚拟环境中同步的新颖数据分发管理方案

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In large-scale distributed virtual environments - LDVEs - extensive and/or multidimensional virtual 3D environments can be shared by thousands of participant users in applications ranging from multiplayer games to virtual cities, virtual shopping mall, open space military training etc. In such systems, distribution seems inherent. The world geometric data of an extensive region or terrain may need to be divided in areas, which are distributed across the network. By distributing the data, host memory use and processing power are reduced since less data needs to be received, processed and stored. However, these gains can be easily surpassed by the amount of traffic generated by the synchronization messages transmitted, as well as the processing time due to the control infrastructure and the bulky data transmission of parts of the distributed VE. So, good mechanisms for data distribution management (DDM) are an important requirement for LDVEs. This paper describes the grid filtered region-based (GFRB) DDM scheme, which combines the positive aspects of both region-based and grid-based DDM methods to reduce network traffic and latency in LDVEs using a minimum number of multicast groups. GFRB scheme is unique because it provides a finer grained mechanism to exact match publishers to subscribers with intersecting regions. It does that with a reduced number of messages and multicast groups, by taking into consideration the percentage of overlap of a region on a cell. Experimental results show that GFRB scheme can be a potential solution to data synchronization in large distributed virtual environments.
机译:在大型分布式虚拟环境-LDVE中-广泛和/或多维的虚拟3D环境可以被成千上万的参与者用户共享,其应用范围涵盖多人游戏,虚拟城市,虚拟购物中心,开放空间军事训练等。在此类系统中,分布似乎是固有的。可能需要将广阔区域或地形的世界几何数据划分为多个区域,这些区域在整个网络中分布。通过分配数据,减少了主机存储器的使用和处理能力,因为需要接收,处理和存储的数据更少。但是,由于控制基础结构和分布式VE部分的庞大数据传输,传输的同步消息所产生的通信量以及处理时间很容易超过这些收益。因此,良好的数据分发管理机制(DDM)是LDVE的重要要求。本文介绍了基于网格过滤的基于区域(GFRB)的DDM方案,该方案结合了基于区域和基于网格的DDM方法的积极方面,以使用最少数量的多播组减少LDVE中的网络流量和延迟。 GFRB方案之所以独特,是因为它提供了一种更细粒度的机制,可以使发布者与具有相交区域的订户精确匹配。通过考虑小区上区域重叠的百分比,可以减少消息和多播组的数量。实验结果表明,GFRB方案可以成为大型分布式虚拟环境中数据同步的潜在解决方案。

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