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Title: FaaSter, better, cheaper : the prospect of serverless scientific computing and HPC
Authors : Spillner, Josef
Mateos, Cristian
Monge, David A.
Proceedings: High Performance Computing : 4th Latin American Conference, CARLA 2017, Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, September 20-22, 2017, Revised Selected Papers
Pages : 154
Pages to: 168
Conference details: 4th Latin American Conference, CARLA 2017, Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, September 20-22 2017
Editors of the parent work: Mocskos, Esteban
Nesmachnow, Sergio
Publisher / Ed. Institution : Springer
Publisher / Ed. Institution: Cham
Issue Date: Sep-2017
License (according to publishing contract) : Licence according to publishing contract
Series : Communications in Computer and Information Science
Series volume: 796
Type of review: Peer review (Publication)
Language : English
Subject (DDC) : 004: Computer science
Abstract: The adoption of cloud computing facilities and programming models differs vastly between different application domains. Scalable web applications, low-latency mobile backends and on-demand provisioned databases are typical cases for which cloud services on the platform or infrastructure level exist and are convincing when considering technical and economical arguments. Applications with specific processing demands, including high-performance computing, high-throughput computing and certain flavours of scientific computing, have historically required special configurations such as compute- or memory-optimised virtual machine instances. With the rise of function-level compute instances through Function-as-a-Service (FaaS) models, the fitness of generic configurations needs to be re-evaluated for these applications. We analyse several demanding computing tasks with regards to how FaaS models compare against conventional monolithic algorithm execution. Beside the comparison, we contribute a refined FaaSification process for legacy software and provide a roadmap for future work.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Conference Paper
DOI : 10.1007/978-3-319-73353-1_11
ISBN: 978-3-319-73352-4
Appears in Collections:Publikationen School of Engineering

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