Výsledky vyhledávání - "Diana M. Naranjo"

Akademický článek

Insights from Learning Analytics for Hands-On Cloud Computing Labs in AWS

Autor: Germán Moltó, Diana M. Naranjo, J. Damian Segrelles

Publikováno v: Applied Sciences, Vol 10, Iss 24, p 9148 (2020)

Cloud computing instruction requires hands-on experience with a myriad of distributed computing services from a public cloud provider. Tracking the progress of the students, especially for online courses, requires one to automatically gather evidence

Externí odkaz: https://doaj.org/article/4412585381cf43ea8296bedc2e7f10b7

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Akademický článek

A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing

Autor: Diana M. Naranjo, José R. Prieto, Germán Moltó, Amanda Calatrava

Publikováno v: Sensors, Vol 19, Iss 13, p 2952 (2019)

Cloud providers such as Amazon Web Services (AWS) stand out as useful platforms to teach distributed computing concepts as well as the development of Cloud-native scalable application architectures on real-world infrastructures. Instructors can benef

Externí odkaz: https://doaj.org/article/17d032322acb49de94d55ba99aebc60f

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On the Acceleration of FaaS Using Remote GPU Virtualization

Autor: Diana M. Naranjo Delgado, Manuel Contreras, Germán Moltó, Sebastián Risco, Ignacio Blanquer, Javier Prades, Federico Silla

Publikováno v: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4eecac2c3e04e4e462db2fec9f44fa93
https://doi.org/10.1145/3578245.3584933

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Serverless Workflows for Containerised Applications in the Cloud Continuum

Autor: Sebastián Risco, Diana M. Naranjo, Germán Moltó, Ignacio Blanquer

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Journal of Grid Computing

[EN] This paper introduces an open-source platform to support serverless computing for scientific data-processing workflow-based applications across the Cloud continuum (i.e. simultaneously involving both on-premises and public Cloud platforms to pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be158cbab787aa3b67eaadf05b866fe7
http://hdl.handle.net/10251/180321

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Insights from Learning Analytics for Hands-On Cloud Computing Labs in AWS

Autor: Diana M. Naranjo, J. Damian Segrelles, Germán Moltó

Publikováno v: Applied Sciences, Vol 10, Iss 9148, p 9148 (2020)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Applied Sciences
Volume 10
Issue 24
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

[EN] Cloud computing instruction requires hands-on experience with a myriad of distributed computing services from a public cloud provider. Tracking the progress of the students, especially for online courses, requires one to automatically gather evi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd2fbe09d96e41bc2a8df8f4ca5a8ae
https://www.mdpi.com/2076-3417/10/24/9148

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Accelerated serverless computing based on GPU virtualization

Autor: Diana M. Naranjo, Ignacio Blanquer, Sebastián Risco, Germán Moltó, Carlos de Alfonso, Alfonso Pérez

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] This paper introduces a platform to support serverless computing for scalable event-driven data processing that features a multi-level elasticity approach combined with virtualization of GPUs. The platform supports the execution of applications

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10d1c0e6bd8b9df9bac74e19ef2e2827

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On-Premises Serverless Computing for Event-Driven Data Processing Applications

Autor: Alfonso Pérez, Miguel Caballer, Sebastián Risco, Diana M. Naranjo, Germán Moltó

Publikováno v: CLOUD

The advent of open-source serverless computing frameworks has introduced the ability to bring the Functions-as-a-Service (FaaS) paradigm for applications to be executed on-premises. In particular, data-driven scientific applications can benefit from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4b71a417ca5fbbe0e27a29329f110a7
https://doi.org/10.1109/cloud.2019.00073

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A Visual Dashboard to Track Learning Analytics for Educational Cloud Computing

Autor: Amanda Calatrava, Germán Moltó, Jose Ramon Prieto, Diana M. Naranjo

Publikováno v: Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 13, p 2952 (2019)
Sensors
Volume 19
Issue 13
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname

[EN] Cloud providers such as Amazon Web Services (AWS) stand out as useful platforms to teach distributed computing concepts as well as the development of Cloud-native scalable application architectures on real-world infrastructures. Instructors can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de0ec68824bae1040bb521eb098d8e9d
https://pubmed.ncbi.nlm.nih.gov/31277463

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