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Email verificado correctamente.
bogotá,
colombia
Aquí son las 7:31 p. m.
Se unió el julio 4, 2015
0
recomendaciones
German S.
@gasotelo
5,2
5,2
100%
100%
bogotá,
colombia
100 %
Trabajos finalizados
90 %
Dentro del presupuesto
100 %
A tiempo
27 %
Tasa de recontratación
Full Stack Developer and passionate programmer
Contacta German S. sobre tu trabajo
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Comentarios
Cambios guardados
Mostrando 1 - 5 de 14 reseñas
$6.400,00 MXN
PHP
Website Design
Graphic Design
Excel
HTML
•
$100,00 USD
Windows Server
Google Web Toolkit
•
€66,00 EUR
Mobile App Development
iPhone
Objective C
iPad
Swift
T
•
$10.000,00 MXN
•
€305,50 EUR
Java
JavaScript
Mobile App Development
Android
MySQL
+1 más
J
•
Experiencia
Instructor
ene 2016 - dic 2016 (11 meses, 1 día)
Lecturer of undergraduate level courses on algorithms and object oriented programming
CTO
abr 2016 - oct 2016 (6 meses, 1 día)
Responsible for develop and design an application for food delivery. The app was available on iOS and Android. The back end was deployed on Google Cloud using Python and MySQL.
Solution Architect
feb 2016 - abr 2016 (2 meses, 1 día)
Responsible for design and develop an IoT solution for Smart Objects customers.
Educación
Master in Systems and Computing Engineering
(2 años)
Bachelor in Systems and Computing Engineering
(4 años)
Calificaciones
Java SE 6 Professional Programmer
Oracle
2014
This certification validates Java SE 5 and SE 6 skills.
Publicaciones
Automatic distribution and configuration of virtual machine images for an opportunistic IaaS
Proceedings of CLCAR 2011
We present a mechanism for automatic distribution and configuration of virtual machines used on local IaaS deployments for HPC
Green Flexible Opportunistic Computing with Virtualization
IEEE Computer Society
This paper presents an energy efficient approach for opportunistic grids based on virtualization. The experimental results show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.
Running MPI Applications over Opportunistic Cloud Infrastructures
IEEE Computer Society
This paper analyzes in detail the difficulties and issues that must be faced when running MPI (Message Passing Interface) applications over non-dedicated infrastructures. Alternatives to overcome these issues on a specific opportunistic infrastructure, called UnaCloud, are presented. We designed and implemented a UnaCloud extension to allow automatic recovery of the execution of MPI applications.
Green flexible opportunistic computing with task consolidation and virtualization
Kluwer Academic Publishers
We present an energy efficient approach for opportunistic infrastructures based on task consolidation and customization of virtual machines. The experimental results with single desktops and complete computer rooms show that virtualization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems without disturbing the end-user.
Building Platform as a Service for High Performance Computing over an Opportunistic Cloud Computing
Springer-Verlag New York, Inc
We present a Platform as a Service model constructed over a desktop-based Cloud infrastructure for developing high performance computing applications taking advantage of unused resources opportunistically. We highlight the key concepts and features of the platform, as well as its innovation on an opportunistic computing and we present the results of several tests showing the performance of the proposed model
Harvesting idle CPU resources for desktop grid computing while limiting slowdown generated to users
Kluwer Academic Publishers
The results show that dynamic performance and energy-efficient technologies, specifically overclocking features, directly affect the slowdown generated to the end-user when incorporated into the processor used by the Desktop Grid. We propose, implement, and test a first set of resource allocation policies for the BOINC client in order to effectively harvest idle CPU resources while avoiding to exceed a customizable slowdown limit.
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