Portals: A Showcase of Multi-Dataflow Stateful Serverless

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:10.14778/3611540.3611619

Jonas Spenger, Chengyang Huang, Philipp Haller, Paris Carbone

引用次数: 1

Abstract

Serverless applications spanning the cloud and edge require flexible programming frameworks for expressing compositions across the different levels of deployment. Another critical aspect for applications with state is failure resilience beyond the scope of a single dataflow graph that is the current standard in data streaming systems. This paper presents Portals, an interactive, stateful dataflow composition framework with strong end-to-end guarantees. Portals enables event-driven, resilient applications that span across dataflow graphs and serverless deployments. The demonstration exhibits three scenarios in our multi-dataflow streaming-based system: dynamically composing a stateful serverless application; an interactive cloud and edge serverless application; and a Portals browser playground.

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门户:展示多数据流的无状态服务器

跨越云和边缘的无服务器应用程序需要灵活的编程框架来跨不同部署级别表达组合。具有状态的应用程序的另一个关键方面是超出单个数据流图范围的故障恢复能力，这是数据流系统中的当前标准。本文介绍了portal，它是一个具有强大的端到端保证的交互式、有状态的数据流组合框架。门户支持跨数据流图和无服务器部署的事件驱动的弹性应用程序。该演示展示了基于多数据流的流系统中的三种场景:动态组合一个有状态的无服务器应用程序;交互式云和边缘无服务器应用程序;以及一个门户网站浏览器平台。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.