支持基于cell的兴趣管理的推拉算法的评估

Rob Minson, G. Theodoropoulos
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引用次数: 4

摘要

在实时分布式虚拟环境(dve)中,基于将数据空间划分为不连接的卷或单元,提出了几种可扩展兴趣管理(IM)的方法。然后可以分配整个空间的责任。但是,任何这样的方法都必须实现在分布式系统中传播查询和更新消息的某种机制。这个过程的效率可以极大地影响这类系统的可伸缩性。在本文中,我们评估了一个自适应的方法来解决这个问题,设计用于一般的基于细胞的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Evaluation of Push-Pull Algorithms in Support of Cell-Based Interest Management
Several approaches for scalable interest management (IM) within real-time distributed virtual environments (DVEs) have been proposed based upon some division of the data-space in to disjoint volumes or cells. Responsibility for the entire space can then be distributed. Any such approach, however, must implement some mechanism for propagating the query and update messages around the distributed system. The efficiency of this process can greatly effect the scalability of such systems. In this paper we evaluate an adaptive approach to this problem, designed for use in cell-based systems in general.
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