By moving data computation and service supply from the cloud to the edge, edge computing has become a promising solution to address the limitations of cloud computing in supporting delay-sensitive and context-aware services in the Internet of Things (IoT) era. Instead of performing data storage and computing in a cluster of clouds, edge computing emphasizes leveraging the power of local computing and using different types of nearby devices/architectures as edge servers to provide timely and intelligent services. In this way, it can bring many advantages, including highly improved scalability by timely and intelligent service supply and local distributed computing that makes full use of client computing capabilities to meet the requirements of contextual computing. However, to truly realize edge computing in IoT applications, there are still many challenges that need to be addressed, such as how to efficiently distribute and manage data storage and computing, how to make edge computing collaborate with cloud computing for more scalable services, as well as how to secure and preserve the privacy of the whole system. The purpose of this Special Issue is to investigate the current research trends, and to help stakeholders in industry and academia to better understand challenges, recent advances, and potential research directions in the developing field of edge computing. Through an open call for papers and rigorous peer review, we selected 20 articles from 63 submissions as representatives of ongoing research and development activities. These 20 articles not only encompass a wide range of research topics in edge computing, but also bring some prominent research outcomes in transparent computing. We briefly divide the accepted articles into categories and discuss them briefly.

中文翻译：

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物联网边缘计算


通过将数据计算和服务提供从云端转移到边缘，边缘计算已成为解决物联网时代云计算在支持延迟敏感和上下文感知服务方面的局限性的有前景的解决方案。边缘计算不是在云集群中进行数据存储和计算，而是强调利用本地计算的能力，使用附近不同类型的设备/架构作为边缘服务器来提供及时、智能的服务。这样可以带来很多优势，包括通过及时、智能的服务提供而高度提高的可扩展性以及充分利用客户端计算能力来满足上下文计算要求的本地分布式计算。然而，要真正实现物联网应用中的边缘计算，仍然存在许多挑战需要解决，例如如何有效地分配和管理数据存储和计算，如何使边缘计算与云计算协作以提供更具可扩展性的服务，例如以及如何保护和保护整个系统的隐私。本期特刊的目的是调查当前的研究趋势，帮助工业界和学术界的利益相关者更好地了解边缘计算发展领域的挑战、最新进展和潜在的研究方向。通过公开征文和严格的同行评审，我们从 63 份提交的论文中选出了 20 篇文章作为正在进行的研究和开发活动的代表。这20篇文章不仅涵盖了边缘计算领域广泛的研究主题，而且还带来了透明计算领域的一些突出研究成果。 我们将接受的文章简单地分为几类并进行简要讨论。