dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.contributor
Barcelona Supercomputing Center
dc.contributor
Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.contributor.author
Serrano Garcia, Maria Aston
dc.contributor.author
Marín, César A.
dc.contributor.author
Queralt Calafat, Anna
dc.contributor.author
Cordeiro, Cristovao
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González Hierro, Marco
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Pinho, Luis Miguel
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Quiñones Moreno, Eduardo
dc.identifier
Serrano, M. [et al.]. An elastic software architecture for extreme-scale big data analytics. A: "Technologies and applications for big data value". Berlín: Springer, 2022, p. 89-110.
dc.identifier
978-3-030-78306-8
dc.identifier
https://hdl.handle.net/2117/374061
dc.identifier
10.1007/978-3-030-78307-5_5
dc.description.abstract
This chapter describes a software architecture for processing big-data analytics considering the complete compute continuum, from the edge to the cloud. The new generation of smart systems requires processing a vast amount of diverse information from distributed data sources. The software architecture presented in this chapter addresses two main challenges. On the one hand, a new elasticity concept enables smart systems to satisfy the performance requirements of extreme-scale analytics workloads. By extending the elasticity concept (known at cloud side) across the compute continuum in a fog computing environment, combined with the usage of advanced heterogeneous hardware architectures at the edge side, the capabilities of the extreme-scale analytics can significantly increase, integrating both responsive data-in-motion and latent data-at-rest analytics into a single solution. On the other hand, the software architecture also focuses on the fulfilment of the non-functional properties inherited from smart systems, such as real-time, energy-efficiency, communication quality and security, that are of paramount importance for many application domains such as smart cities, smart mobility and smart manufacturing.
dc.description.abstract
The research leading to these results has received funding from the European Union’s Horizon 2020 Programme under the ELASTIC Project (www.elastic-project.eu), grant agreement No 825473.
dc.description.abstract
Peer Reviewed
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Postprint (published version)
dc.format
application/pdf
dc.relation
https://link.springer.com/book/10.1007/978-3-030-78307-5
dc.relation
info:eu-repo/grantAgreement/EC/H2020/825473/EU/A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTIng ECosystems/ELASTIC
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
Attribution 4.0 International
dc.subject
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
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Cloud computing
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Software architecture
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Smart mobility
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Software architecture
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Distributed big data analytics
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Compute continuum
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Edge computing
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Cloud computing
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Non-functional requirements
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Cyber-security
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Energy-efficiency
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Communications
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Computació en núvol
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Dades massives
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Programari -- Disseny
dc.title
An elastic software architecture for extreme-scale big data analytics
dc.type
Part of book or chapter of book
