Modernization of Databases in the Cloud Era: Building Databases that Run Like Legos

IF 2.6 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Proceedings of the Vldb Endowment Pub Date : 2023-08-01 DOI:10.14778/3611540.3611639

Feifei Li

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引用次数: 1

Abstract

Utilizing cloud for common and critical computing infrastructures has already become the norm across the board. The rapid evolvement of the underlying cloud infrastructure and the revolutionary development of AI present both challenges and opportunities for building new database architectures and systems. It is crucial to modernize database systems in the cloud era, so that next generation cloud native databases may run like legos-they are adaptive, flexible, reliable, and smart towards dynamic workloads and varying requirements. That said, we observe four critical trends and requirements for the modernization of cloud databases: embracing cloud-native architecture, full integration with cloud platform and orchestration, co-design for data fabric, and moving towards being AI augmented. Modernizing database systems by adopting these critical trends and addressing key challenges associated with them provide ample opportunities for data management communities from both academia and industry to explore. We will provide an in-depth case study of how we modernize PolarDB with respect to embracing these four trends in the cloud era. Our ultimate goal is to build databases that run just like playing with legos, so that a database system fits for rich and dynamic workloads and requirements in a self-adaptive, performant, easy-/intuitive-to use, reliable, and intelligent manner.

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云时代的数据库现代化:构建像乐高积木一样运行的数据库

将云用于公共和关键的计算基础设施已经成为一种普遍的规范。底层云基础设施的快速发展和人工智能的革命性发展为构建新的数据库架构和系统带来了挑战和机遇。在云时代对数据库系统进行现代化是至关重要的，这样下一代云本地数据库就可以像乐高一样运行——它们对动态工作负载和不同的需求具有自适应、灵活、可靠和智能。也就是说，我们观察到云数据库现代化的四个关键趋势和需求:拥抱云原生架构，与云平台和编排的完全集成，数据结构的协同设计，以及向人工智能增强方向发展。通过采用这些关键趋势和解决与之相关的关键挑战来实现数据库系统的现代化，为学术界和工业界的数据管理社区提供了充分的探索机会。我们将提供一个深入的案例研究，说明我们如何在云时代对PolarDB进行现代化改造，以拥抱这四大趋势。我们的最终目标是构建像玩乐高一样运行的数据库，以便数据库系统以自适应、高性能、易于/直观使用、可靠和智能的方式适合丰富和动态的工作负载和需求。

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来源期刊

Proceedings of the Vldb Endowment Computer Science-General Computer Science

CiteScore

7.70

自引率

0.00%

发文量

期刊介绍： The Proceedings of the VLDB (PVLDB) welcomes original research papers on a broad range of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. The scope of a submission for PVLDB is also described by the subject areas given below. Moreover, the scope of PVLDB is restricted to scientific areas that are covered by the combined expertise on the submission’s topic of the journal’s editorial board. Finally, the submission’s contributions should build on work already published in data management outlets, e.g., PVLDB, VLDBJ, ACM SIGMOD, IEEE ICDE, EDBT, ACM TODS, IEEE TKDE, and go beyond a syntactic citation.