可持续协作混合现实技术的范围界定

Yasra Chandio, Noman Bashir, Tian Guo, Elsa Olivetti, Fatima Anwar
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引用次数: 0

摘要

随着混合现实(MR)在教育、医疗保健和其他休闲领域的应用,它正变得无处不在。虽然混合现实终端设备(如头戴式耳机)的能耗较低,但整个混合现实生态系统(包括云和边缘终端)的设备总数和资源需求可能非常可观。最近的研究探索了通过探索硬件设计空间或网络优化来减少磁共振设备的碳足迹。然而,增强磁共振可持续发展的许多其他途径仍然是开放的,包括非处理器组件的节能和磁共振协作生态系统中的碳感知优化。在本文中,我们旨在确定提高 MR 可持续性的关键挑战、现有解决方案和有前景的研究方向。我们探索了嵌入式和移动计算系统的邻近领域,以寻求启示,并概述了需要新解决方案的磁共振特定问题。我们确定了必须应对的挑战,以使研究人员、开发人员和用户能够利用磁共振协作系统中的这些机会。
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Scoping Sustainable Collaborative Mixed Reality
Mixed Reality (MR) is becoming ubiquitous as it finds its applications in education, healthcare, and other sectors beyond leisure. While MR end devices, such as headsets, have low energy intensity, the total number of devices and resource requirements of the entire MR ecosystem, which includes cloud and edge endpoints, can be significant. The resulting operational and embodied carbon footprint of MR has led to concerns about its environmental implications. Recent research has explored reducing the carbon footprint of MR devices by exploring hardware design space or network optimizations. However, many additional avenues for enhancing MR's sustainability remain open, including energy savings in non-processor components and carbon-aware optimizations in collaborative MR ecosystems. In this paper, we aim to identify key challenges, existing solutions, and promising research directions for improving MR sustainability. We explore adjacent fields of embedded and mobile computing systems for insights and outline MR-specific problems requiring new solutions. We identify the challenges that must be tackled to enable researchers, developers, and users to avail themselves of these opportunities in collaborative MR systems.
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