分布式虚拟环境中基于可伸缩预测的并发控制

Jeonghwa Yang, Dongman Lee
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引用次数: 23

摘要

复制通常用于为分布式虚拟环境的用户提供高性能交互。需要进行并发控制,以避免由于多个并发更新而导致副本之间的视图不一致。G. Lann开发了一种基于预测的并发控制方案,允许用户进行实时交互,并消除了修复的需要。现有的方案不能随着用户数量的增加而按时交付所有权。本文提出了一种以实体为中心的可扩展的基于预测的并发控制方案:只有目标实体周围的用户使用分配给实体的组播地址来组播所有权请求。实验结果和分析表明,该方案在大型分布式虚拟环境中具有基于预测的并发控制的优点,并且具有高效率和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable prediction based concurrency control for distributed virtual environments
Replication is often used to provide users of distributed virtual environments with high-performance interactions. Concurrency control is required to avoid inconsistent views among replicas due to multiple concurrent updates. G. Lann has developed a prediction-based concurrency control scheme to allow real-time interactions for users and to eliminate the need for repairs. The existing scheme does not scale in terms of delivering ownership on time as the number of users increases. In this paper, we propose a scalable prediction-based concurrency control scheme with entity-centric multicasting: only the users surrounding a target entity multicast the ownership requests, by using the multicast address assigned to the entity. The experimental results and analysis reported in this paper show that the proposed scheme achieves the benefits of prediction-based concurrency control with efficiency and scalability for large distributed virtual environments.
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