使用无冲突数据结构的可伸缩分布式3D模型协同编辑

Kengo Imae, Naohiro Hayashibara
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引用次数: 1

摘要

协同编辑中的一致性维护是分布式系统中最重要的问题之一。因此,许多论文提出了各种方法来解决这个问题,但大多数都是针对文档的,只有少数是针对3D模型的。我们提出了一种名为ChainVoxel的数据结构,并对其进行操作,用于3D模型的可扩展分布式协同编辑系统。它基于无冲突复制数据类型(CRDT)。ChainVoxel是由一个链式哈希表实现的,用于在多个用户编辑时解决冲突。它保证了共享3D模型更新的最终一致性,而不会相互排斥。我们根据ChainVoxel的大小和操作次数分析了原型。我们还进行了模拟,将我们的原型与基于共识的实现进行比较。我们的原型显示了关于执行操作的消息数量和步骤的可伸缩性。
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Scalable distributed collaborative editing for 3D models using conflict-free data structure
Consistent maintenance in collaborative editing is one of the most important problems in distributed systems. So many papers have proposed various approaches to this issue, but most of them are for documents, and there are a few for 3D models. We propose a data structure, called ChainVoxel, and operations on it for scalable distributed collaborative editing systems for 3D models. It is based on the conflict-free replicated data type (CRDT). ChainVoxel is implemented by a chained hash table for collision resolution while editing by multiple users. It guarantees the eventual consistency for updating a shared 3D model without mutual exclusion. We analysed our prototype regarding the size of ChainVoxel and the number of operations. We also conducted simulations to compare our prototype with a consensus-based implementation. Our prototype shows the scalability regarding the number of messages and steps for executing operations.
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International Journal of Space-Based and Situated Computing
International Journal of Space-Based and Situated Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
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