Data mesh is a socio-technical approach to decentralized analytics data
management. To manage this decentralization efficiently, data mesh relies on
automation provided by a self-service data infrastructure platform. A key
aspect of this platform is to enable decentralized data governance. Because
data mesh is a young approach, there is a lack of coherence in how data mesh
concepts are interpreted in the industry, and almost no work on how a data mesh
platform facilitates governance. This paper presents a conceptual model of key
data mesh concepts and discusses different approaches to drive governance
through platform means. The insights presented are drawn from concrete
experiences of implementing a fully-functional data mesh platform that can be
used as a reference on how to approach data mesh platform development.

本文提出了数据网格关键概念的概念模型，并讨论了通过平台手段推动治理的不同方法，旨在为数据网格平台的开发提供一个参考。

数据网格平台的一部分：分布式数据治理概念与方法

Decentralized Data Governance as Part of a Data Mesh Platform: Concepts  and Approaches

Cloud computing plays a critical role in modern society and enables a range
of applications from infrastructure to social media. Such system must cope with
varying load and evolving usage reflecting societies interaction and dependency
on automated computing systems whilst satisfying Quality of Service (QoS)
guarantees. Enabling these systems are a cohort of conceptual technologies,
synthesized to meet demand of evolving computing applications. In order to
understand current and future challenges of such system, there is a need to
identify key technologies enabling future applications. In this study, we aim
to explore how three emerging paradigms (Blockchain, IoT and Artificial
Intelligence) will influence future cloud computing systems. Further, we
identify several technologies driving these paradigms and invite international
experts to discuss the current status and future directions of cloud computing.
Finally, we proposed a conceptual model for cloud futurology to explore the
influence of emerging paradigms and technologies on evolution of cloud
computing.

研究探讨了三种新兴技术（区块链、物联网和人工智能）如何影响未来云计算系统，识别了多个驱动这些技术的范式，并提出了一个概念模型，以探索这些新兴技术对云计算演化的影响。