MetaverseBench:实例化和基准化元数据挑战

Hainan Ye , Lei Wang
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引用次数: 0

摘要

元宇宙的快速发展导致了大量元宇宙技术和产品的出现。从计算机系统的角度来看,元宇宙系统是一个复杂的大规模系统,集成了各种最先进的技术,包括人工智能、区块链、大数据和AR/VR。它还包括多个平台,如IoT、边缘、数据中心和各种设备,包括CPU、GPU、NPU和3D眼镜。集成这些技术和组件来构建一个整体系统对系统设计者来说是一个重大挑战。构建元宇宙的第一步是实例化和评估挑战,并提供一个全面的基准套件。然而,据我们所知,没有任何现有的基准可以定义元宇宙的挑战,并从整体角度评估最先进的解决方案。在本文中,我们从系统的角度实例化了元宇宙的挑战,并提出了MetaverseBench,一个全面、全面的元宇宙基准套件。我们的初步实验表明,现有的系统性能需要平均达到元宇宙的两个数量级的要求。
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MetaverseBench: Instantiating and benchmarking metaverse challenges

The rapid evolution of the metaverse has led to the emergence of numerous metaverse technologies and productions. From a computer systems perspective, the metaverse system is a complex, large-scale system that integrates various state-of-the-art technologies, including AI, blockchain, big data, and AR/VR. It also includes multiple platforms, such as IoTs, edges, data centers, and diverse devices, including CPUs, GPUs, NPUs, and 3D glasses. Integrating these technologies and components to build a holistic system poses a significant challenge for system designers. The first step towards building the metaverse is to instantiate and evaluate the challenges and provide a comprehensive benchmark suite. However, to the best of our knowledge, no existing benchmark defines the metaverse challenges and evaluates state-of-the-art solutions from a holistic perspective. In this paper, we instantiate metaverse challenges from a system perspective and propose MetaverseBench, a holistic and comprehensive metaverse benchmark suite. Our preliminary experiments indicate that the existing system performance needs to catch up to the requirements of the metaverse by two orders of magnitude on average.

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