Collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks

Compute-heavy workloads are traditionally run on x86-based HPC platforms and Intel, AMD or Nvidia GPUs; these require a high initial capital expense and ongoing maintenance costs. ARM-based mobile devicesoffer a rad-ically different paradigm with substantially lower capital and maintenance costs and...

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Detalles Bibliográficos
Autores principales: Petrocelli, David, De Giusti, Armando Eduardo, Naiouf, Marcelo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/104766
Aporte de:
id I19-R120-10915-104766
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Kubernetes & Containers
Pipelines
Microservices
Cloud Computing & Storage
Mobile Computing
Distributed & Collaborative Computing
spellingShingle Ciencias Informáticas
Kubernetes & Containers
Pipelines
Microservices
Cloud Computing & Storage
Mobile Computing
Distributed & Collaborative Computing
Petrocelli, David
De Giusti, Armando Eduardo
Naiouf, Marcelo
Collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks
topic_facet Ciencias Informáticas
Kubernetes & Containers
Pipelines
Microservices
Cloud Computing & Storage
Mobile Computing
Distributed & Collaborative Computing
description Compute-heavy workloads are traditionally run on x86-based HPC platforms and Intel, AMD or Nvidia GPUs; these require a high initial capital expense and ongoing maintenance costs. ARM-based mobile devicesoffer a rad-ically different paradigm with substantially lower capital and maintenance costs and higher gains in performance and efficiency in recent years. When compared to their x-86 brethren, they have become ubiquitous in consumer markets and are making steady gains in the server market. Given this shifting computer paradigm, it is conceivable that a cost- and power-efficient solution for our world’s data processing would include those very same ARM-based mobile devices while they are idling. Given that context, we developed and deployed an auto-scalable, distributed and redundant platform on the basis of a cloud-based service managed via container orchestration and microservices that are in charge of recycling and optimizing these idle resources. We tested the platform performing distributed video compression. We concluded the system allows for improvements in terms of scalability, flexibility, stability, efficiency, and cost for compute-heavy work-loads.
format Objeto de conferencia
Objeto de conferencia
author Petrocelli, David
De Giusti, Armando Eduardo
Naiouf, Marcelo
author_facet Petrocelli, David
De Giusti, Armando Eduardo
Naiouf, Marcelo
author_sort Petrocelli, David
title Collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks
title_short Collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks
title_full Collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks
title_fullStr Collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks
title_full_unstemmed Collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks
title_sort collaborative, distributed and scalable platform based on mobile, cloud, micro services and containers for intensive computing tasks
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/104766
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AT degiustiarmandoeduardo collaborativedistributedandscalableplatformbasedonmobilecloudmicroservicesandcontainersforintensivecomputingtasks
AT naioufmarcelo collaborativedistributedandscalableplatformbasedonmobilecloudmicroservicesandcontainersforintensivecomputingtasks
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