A Consistency Model for Distributed Virtual Reality Systems

V. Y. Kharitonov
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引用次数: 5

Abstract

As a further development of works published in previous DepCoS-RELCOMEX conferences, this paper is devoted to one of the most important problems taking place in distributed virtual reality systems (DVR systems): maintenance of consistency among the processes within DVR system, which is required to ensure that all users have a sense of presence in a common shared virtual world. In this paper an event-based model of distributed computations in DVR systems is discussed. Then we consider different approaches to consistency definition, such as causal, observational and space-time consistency. In order to reach high space-time consistency in DVR system, large amounts of geographically distributed data should be replicated in real time. However, due to hardware limitations it is still impossible to achieve absolute consistency. Moreover, in most cases the absolute consistency is not necessary. In this work we propose a data consistency model based on selective consistency principle allowing to ensure consistency only on those parameters which are in most importance for specific task. Within the model the issues of data representation, storage and communication are discussed.
分布式虚拟现实系统的一致性模型
作为在以前的DepCoS-RELCOMEX会议上发表的作品的进一步发展,本文致力于分布式虚拟现实系统(DVR系统)中发生的最重要的问题之一:维护DVR系统中进程之间的一致性,这需要确保所有用户在共享的虚拟世界中都有存在感。本文讨论了DVR系统中基于事件的分布式计算模型。然后,我们考虑了不同的一致性定义方法,如因果一致性、观测一致性和时空一致性。为了在DVR系统中达到高时空一致性,需要实时复制大量地理分布的数据。然而,由于硬件的限制,仍然不可能达到绝对的一致性。此外,在大多数情况下,绝对的一致性是不必要的。在这项工作中,我们提出了一个基于选择性一致性原则的数据一致性模型,允许只在那些对特定任务最重要的参数上确保一致性。在该模型中,讨论了数据表示、存储和通信问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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