现代网络上的数据库:十年来的研究现已付诸实践

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:10.14778/3611540.3611579
Alberto Lerner, Carsten Binnig, Philippe Cudré-Mauroux, Rana Hussein, Matthias Jasny, Theo Jepsen, Dan R. K. Ports, Lasse Thostrup, Tobias Ziegler
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引用次数: 0

摘要

现代云网络是数据密集型应用的基本支柱。它们提供高速的事务(包)速率和低开销,例如,支持真正可伸缩的数据库设计。然而,这些网络与传统网络有着根本的不同。可以说,两个关键的识别技术是RDMA和可编程网络设备。如今,这些技术不再是小众技术,而是被广泛部署在所有主要的云供应商中。因此,问题不是如果,而是考虑到使用和编程的困难,如何从现代网络中受益。本教程通过揭示底层原则如何随着网络的发展而变化,并介绍它们所带来的新系统设计机会,来解决这些挑战。在此过程中,我们还讨论了通过第一手过渡积累的一些来之不易的经验教训。
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Databases on Modern Networks: A Decade of Research That Now Comes into Practice
Modern cloud networks are a fundamental pillar of data-intensive applications. They provide high-speed transaction (packet) rates and low overhead, enabling, for instance, truly scalable database designs. These networks, however, are fundamentally different from conventional ones. Arguably, the two key discerning technologies are RDMA and programmable network devices. Today, these technologies are not niche technologies anymore and are widely deployed across all major cloud vendors. The question is thus not if but how a new breed of data-intensive applications can benefit from modern networks, given the perceived difficulty in using and programming them. This tutorial addresses these challenges by exposing how the underlying principles changed as the network evolved and by presenting the new system design opportunities they opened. In the process, we also discuss several hard-earned lessons accumulated by making the transition first-hand.
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来源期刊
Proceedings of the Vldb Endowment
Proceedings of the Vldb Endowment Computer Science-General Computer Science
CiteScore
7.70
自引率
0.00%
发文量
95
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.
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