Towards a Testbed for Scalable FaaS Platforms
Trever Schirmer, David Bermbach
TL;DR
This paper introduces a flexible testbed designed to evaluate how different architectures affect the scalability and performance of Function-as-a-Service (FaaS) cloud platforms, aiding in research and development.
Contribution
It presents a novel, adaptable testbed for systematically studying the impact of architectural choices on FaaS platform scalability and performance.
Findings
Testbed enables rapid evaluation of architecture impacts
Facilitates comparative analysis of FaaS platform designs
Supports research on scalability optimization
Abstract
Most cloud platforms have a Function-as-a-Service (FaaS) offering that enables users to easily write highly scalable applications. To better understand how the platform's architecture impacts its performance, we present a research-focused testbed that can be adapted to quickly evaluate the impact of different architectures and technologies on the characteristics of scalability-focused FaaS platforms.
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Taxonomy
TopicsDistributed systems and fault tolerance · Cloud Computing and Resource Management