Rethinking Serverless Computing: from the Programming Model to the Platform Design
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Author / Producer
Date
2023
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
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Rights / License
Abstract
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.
Permanent link
Publication status
published
External links
Book title
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023)
Journal / series
Volume
3462
Pages / Article No.
Publisher
CEUR-WS
Event
Workshop on Serverless Data Analytics (SDA 2023)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Cloud computing; Serverless; Data analyrics; Functions as a service
Organisational unit
09683 - Klimovic, Ana / Klimovic, Ana
03506 - Alonso, Gustavo / Alonso, Gustavo
Notes
Funding
Related publications and datasets
Is part of: https://ceur-ws.org/Vol-3462/