With the advances of the Internet of Things (IoT) and 5G/6G wireless communications, the paradigms of mobile computing have developed dramatically in recent years, from centralized mobile cloud computing to distributed fog computing and mobile edge computing (MEC). MEC pushes compute-intensive assignments to the edge of the network and brings resources as close to the endpoints as possible, addressing the shortcomings of mobile devices with regard to storage space, resource optimisation, computational performance and efficiency. Compared to cloud computing, as the distributed and closer infrastructure, the convergence of MEC with other emerging technologies, including the Metaverse, 6G wireless communications, artificial intelligence (AI), and blockchain, also solves the problems of network resource allocation, more network load as well as latency requirements. Accordingly, this paper investigates the computational paradigms used to meet the stringent requirements of modern applications. The application scenarios of MEC in mobile augmented reality (MAR) are provided. Furthermore, this survey presents the motivation of MEC-based Metaverse and introduces the applications of MEC to the Metaverse. Particular emphasis is given on a set of technical fusions mentioned above, e.g., 6G with MEC paradigm, MEC strengthened by blockchain, etc.
翻译:随着物联网(IOT)和5G/6G无线通信的发展,近年来移动计算模式有了巨大发展,从中央移动云计算到分布式雾计算和移动边缘计算(MEC)等中央移动云计算到分布式雾计算和移动边缘计算(MEC)等移动计算计算模式。MEC将计算密集的任务推向网络的边缘,并尽可能将资源引入终端点,解决移动设备在存储空间、资源优化、计算性能和效率方面的缺陷。与云计算相比,作为分布式和更为密切的基础设施,移动计算中心与其他新兴技术,包括Metafverse、6G无线通信、人工智能(AI)和阻隔式链的融合,也解决了网络资源分配、网络负荷和拉长要求等问题。因此,本文件调查了用来满足现代应用的严格要求的计算模式。提供了移动设备在移动增强现实方面的应用情景。此外,这项调查介绍了以MEC为基础的Metversevers的动机,并介绍了MEC对元值的应用。特别侧重于上文提到的一套技术组合,例如MEC等。