Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure
Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure
复制标题
DOI：
10.1145/3318464.3389758
复制
发表时间：
2019-12
期刊：
影响因子：
--
通讯作者：
Ingo Müller;Renato Marroquín;G. Alonso
中科院分区：
文献类型：
--
作者：
Ingo Müller;Renato Marroquín;G. Alonso
无服务器计算最近吸引了研究和工业界的大量关注，因为它承诺了最终的弹性和操作简单性。然而，对于这种方法是否适合数据处理还没有达成共识。在本文中，我们介绍了Lambada，一个无服务器分布式数据处理框架，旨在探索如何在无服务器计算上执行数据分析。在我们的分析中，通过大量的实验，我们展示了从经济和性能的角度来看，无服务器在哪些场景中是有意义的。我们解决了几个需要解决的重要技术问题，以支持数据分析，并从几个领域展示了无服务器提供成本和性能优势的例子。
Serverless computing has recently attracted a lot of attention from research and industry due to its promise of ultimate elasticity and operational simplicity. However, there is no consensus yet on whether or not the approach is suitable for data processing. In this paper, we present Lambada, a serverless distributed data processing framework designed to explore how to perform data analytics on serverless computing. In our analysis, supported with extensive experiments, we show in which scenarios serverless makes sense from an economic and performance perspective. We address several important technical questions that need to be solved to support data analytics and present examples from several domains where serverless offers a cost and performance advantage over existing solutions.