Author, as appears in the article.: Barcelona-Pons D; García-López P
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Barcelona Pons, Daniel / García López, Pedro Antonio
Keywords: Serverless Parallelism Faas Benchmark parallelism faas benchmark
Abstract: Serverless computing has seen a myriad of work exploring its potential. Some systems tackle Function-as-a-Service (FaaS) properties on automatic elasticity and scale to run highly-parallel computing jobs. However, they focus on specific platforms and convey that their ideas can be extrapolated to any FaaS runtime. An important question arises: do all FaaS platforms fit parallel computations? In this paper, we argue that not all of them provide the necessary means to host highly-parallel applications. To validate our hypothesis, we create a comparative framework and categorize the architectures of four cloud FaaS offerings, emphasizing parallel performance. We attest and extend this description with an empirical experiment that consists in plotting in deep detail the evolution of a parallel computing job on each service. The analysis of our results evinces that FaaS is not inherently good for parallel computations and architectural differences across platforms are decisive to categorize their performance. A key insight is the importance of virtualization technologies and the scheduling approach of FaaS platforms. Parallelism improves with lighter virtualization and proactive scheduling due to finer resource allocation and faster elasticity. This causes some platforms like AWS and IBM to perform well for highly-parallel computations, while others such as Azure present difficulties to achieve the required parallelism degree. Consequently, the information in this paper becomes of special interest to help users choose the most adequate infrastructure for their parallel applications.
Thematic Areas: Software Saúde coletiva Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar Hardware and architecture Engenharias iv Engenharias iii Engenharias i Comunicação e informação Computer science, theory & methods Computer networks and communications Ciências sociais aplicadas i Ciências biológicas ii Ciências biológicas i Ciência da computação
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: daniel.barcelona@urv.cat daniel.barcelona@urv.cat pedro.garcia@urv.cat
Author identifier: 0000-0002-6051-9424 0000-0002-6051-9424 0000-0002-9848-1492
Last page: 284
Record's date: 2024-07-27
Journal volume: 124
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.sciencedirect.com/science/article/pii/S0167739X21001990?via%3Dihub
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Future Generation Computer Systems-The International Journal Of Escience. 124 268-284
APA: Barcelona-Pons D; García-López P (2021). Benchmarking parallelism in FaaS platforms. Future Generation Computer Systems-The International Journal Of Escience, 124(), 268-284. DOI: 10.1016/j.future.2021.06.005
Article's DOI: 10.1016/j.future.2021.06.005
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
First page: 268
Publication Type: Journal Publications
Repositori URV