Rethinking Serverless Computing: from the Programming Model to the Platform Design

Medientyp: Elektronischer Konferenzbericht
Titel: Rethinking Serverless Computing: from the Programming Model to the Platform Design
Beteiligte: Alonso, Gustavo [Verfasser:in]; id_orcid0 000-0002-4396-6695 [Verfasser:in]; Klimovic, Ana [Verfasser:in]; Kuchler, Tom [Verfasser:in]; Wawrzoniak, Michael [Verfasser:in]; id_orcid0 000-0002-1304-8420 [Verfasser:in]
Erschienen: CEUR-WS, 2023
Erschienen in: CEUR Workshop Proceedings, 3462 ; Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023)
Sprache: Englisch
DOI: https://doi.org/20.500.11850/652749; https://doi.org/10.3929/ethz-b-000652749
Schlagwörter: Serverless ; computer science ; Data analyrics ; Functions as a service ; Cloud computing ; Data processing
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Beschreibung: Serverless computing offers a number of advantages over conventional, Virtual Machine (VM) based deployments on the cloud, e.g., greater elasticity, simplicity of use and management, finer granularity billing, and rapid deployment and start up times. Naturally, there is a growing interest in exploring how to run applications in this new environment and data analytics is not an exception. Unfortunately, current serverless platforms are limited along several dimensions, which makes things quite difficult from the perspective of data analytics. In this paper we explore what serverless has to offer today, what is missing, and what can be done to make serverless a better computing platform in general and for data analytics in particular. ; ISSN:1613-0073
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