- -

A Self-managed Mesos Cluster for Data Analytics with QoS Guarantees

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

A Self-managed Mesos Cluster for Data Analytics with QoS Guarantees

Show full item record

López-Huguet, S.; Pérez-González, AM.; Calatrava Arroyo, A.; Alfonso Laguna, CD.; Caballer Fernández, M.; Moltó, G.; Blanquer Espert, I. (2019). A Self-managed Mesos Cluster for Data Analytics with QoS Guarantees. Future Generation Computer Systems. 96:449-461. https://doi.org/10.1016/j.future.2019.02.047

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/127482

Files in this item

Item Metadata

Title: A Self-managed Mesos Cluster for Data Analytics with QoS Guarantees
Author: López-Huguet, Sergio Pérez-González, Alfonso María Calatrava Arroyo, Amanda Alfonso Laguna, Carlos De Caballer Fernández, Miguel Moltó, Germán Blanquer Espert, Ignacio
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Issued date:
Abstract:
[EN] This article describes the development of an automated configuration of a software platform for Data Analytics that supports horizontal and vertical elasticity to guarantee meeting a specific deadline. It specifies ...[+]
Subjects: Cloud orchestration , Elasticity , Quality of service , Data analytics , Hybrid clusters
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Future Generation Computer Systems. (issn: 0167-739X )
DOI: 10.1016/j.future.2019.02.047
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.future.2019.02.047
Project ID:
info:eu-repo/grantAgreement/MINECO//TIN2016-79951-R/ES/COMPUTACION BIG DATA Y DE ALTAS PRESTACIONES SOBRE MULTI-CLOUDS ELASTICOS/
Thanks:
The work presented in this article has been partially funded by a research grant from the regional government of the Comunitat Valenciana (Spain), co-funded by the European Union ERDF funds (European Regional Development ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record