Supporting Multi-Cloud in Serverless Computing

Haidong Zhao, Zakaria Benomar, Tobias Pfandzelter, N. Georgantas
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引用次数: 3

Abstract

Serverless computing is a widely adopted cloud execution model composed of Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) offerings. The increased level of abstraction makes vendor lock-in inherent to serverless computing, raising more concerns than previous cloud paradigms. Multicloud serverless is a promising emerging approach against vendor lock-in, yet multiple challenges must be overcome to tap its potential. First, we need to be aware of both the performance and cost of each FaaS provider. Second, a multi-cloud architecture needs to be proposed before deploying a multi-cloud workflow. Domain-specific serverless offerings must then be integrated into the multi-cloud architecture to improve performance and/or save costs. Finally, we require workload portability support for serverless multi-cloud. In this paper, we present a multi-cloud library for crossserverless offerings. We develop an analysis system to support comparison among public FaaS providers in terms of performance and cost. Moreover, we present how to alleviate data gravity with domain-specific serverless offerings. Finally, we deploy workloads on these architectures to evaluate several public FaaS offerings.
在无服务器计算中支持多云
无服务器计算是一种广泛采用的云执行模型,由功能即服务(FaaS)和后端即服务(BaaS)产品组成。抽象级别的提高使得无服务器计算固有的供应商锁定,引起了比以前的云范式更多的关注。多云无服务器是一种很有前途的对抗供应商锁定的新兴方法,但要发挥其潜力,必须克服多个挑战。首先,我们需要了解每个FaaS提供商的性能和成本。其次,在部署多云工作流之前,需要提出多云架构。然后,必须将特定领域的无服务器产品集成到多云架构中,以提高性能和/或节省成本。最后,我们需要无服务器多云的工作负载可移植性支持。在本文中,我们提出了一个用于跨服务器产品的多云库。我们开发了一个分析系统,以支持公共FaaS提供商在性能和成本方面的比较。此外,我们还介绍了如何使用特定于领域的无服务器产品来减轻数据引力。最后,我们在这些体系结构上部署工作负载,以评估几种公共FaaS产品。
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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