Exploring the use of Strongly Consistent Distributed Shared Memory in 3D NVEs

T. Hadjistasi, N. Nicolaou, E. Stavrakis
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Abstract

Virtual and Augmented Reality is one of the key driving technologies of the 4th Industrial Revolution, which is expected to radically disrupt almost every business sector and transform the way we live and interact with our environment and each other. End-user devices will soon enable users to immerse in 3D Virtual Environments (VEs) that offer access to remote services, such as health care, training and education, entertainment and social interaction. The advent of fast highly-available network connectivity in combination with afford- able 3D hardware (GPUs, VR/AR HMDs, etc.) has enabled making Networked Virtual Environments (NVEs) possible and available to multiple simultaneous end-users beyond the confines of expensive purpose-built 3D facilities and laboratories. However, the algorithms making possible the NVEs of today are already reaching their limits, proving unreliable, suffer asynchronies and deployed over an inherently fault-prone network infrastructure. Current developments of distributed architectures used in NVEs handle concurrency by either providing weak consistency guarantees (e.g., eventual consistency), or by relying on the bounded life span of inconsistent states. Although sufficient for non-critical, yet time sensitive applications, those solutions will be incapable of handling the next generation of interactive Virtual Environments, where precise consistency guarantees will be required. Thus, new scalable, robust, and responsive strategies that can support the needs of the NVEs of tomorrow are necessary. Recent scientific works are shifting the viewpoint around the practicality of strongly consistent distributed storage spaces by proposing latency-efficient algorithms of atomic R/W Distributed Shared Memory (DSM) with provable consistency guarantees. In this work we focus on transforming the theoretical findings of DSMs into tangible implementations and in investigating the practicality of those algorithmic solutions in Virtual Environments.
探索在3D nve中使用强一致性分布式共享内存
虚拟和增强现实是第四次工业革命的关键驱动技术之一,预计它将从根本上颠覆几乎所有的商业领域,改变我们的生活方式以及与环境和彼此互动的方式。终端用户设备将很快让用户沉浸在3D虚拟环境(ve)中,提供远程服务,如医疗保健、培训和教育、娱乐和社交互动。快速、高可用性网络连接的出现,加上价格合理的3D硬件(gpu、VR/AR头戴式显示器等),使得网络虚拟环境(NVEs)成为可能,并且可以同时为多个最终用户提供,而不受昂贵的专用3D设施和实验室的限制。然而,使nve成为可能的算法已经达到了极限,证明不可靠,遭受异步,并且部署在固有的易发生故障的网络基础设施上。nve中使用的分布式架构的当前发展通过提供弱一致性保证(例如,最终一致性)或依赖于不一致状态的有限生命周期来处理并发性。尽管对于非关键的、时间敏感的应用程序来说已经足够了,但这些解决方案将无法处理需要精确一致性保证的下一代交互式虚拟环境。因此,需要新的可扩展的、健壮的、响应迅速的策略来支持未来nve的需求。最近的科学工作通过提出具有可证明一致性保证的原子R/W分布式共享内存(DSM)延迟效率算法,正在围绕强一致性分布式存储空间的实用性转变观点。在这项工作中,我们专注于将dsm的理论发现转化为切实的实现,并研究这些算法解决方案在虚拟环境中的实用性。
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