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Performance Evaluation of Resource Management in Cloud Computing Environments
Cloud computing is a computational model in which resource providers can offer on-demand services to clients in a transparent way. However, to be able to guarantee quality of service without limiting the number of accepted requests, providers must be able to dynamically manage the available resource...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640522/ https://www.ncbi.nlm.nih.gov/pubmed/26555730 http://dx.doi.org/10.1371/journal.pone.0141914 |
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author | Batista, Bruno Guazzelli Estrella, Julio Cezar Ferreira, Carlos Henrique Gomes Filho, Dionisio Machado Leite Nakamura, Luis Hideo Vasconcelos Reiff-Marganiec, Stephan Santana, Marcos José Santana, Regina Helena Carlucci |
author_facet | Batista, Bruno Guazzelli Estrella, Julio Cezar Ferreira, Carlos Henrique Gomes Filho, Dionisio Machado Leite Nakamura, Luis Hideo Vasconcelos Reiff-Marganiec, Stephan Santana, Marcos José Santana, Regina Helena Carlucci |
author_sort | Batista, Bruno Guazzelli |
collection | PubMed |
description | Cloud computing is a computational model in which resource providers can offer on-demand services to clients in a transparent way. However, to be able to guarantee quality of service without limiting the number of accepted requests, providers must be able to dynamically manage the available resources so that they can be optimized. This dynamic resource management is not a trivial task, since it involves meeting several challenges related to workload modeling, virtualization, performance modeling, deployment and monitoring of applications on virtualized resources. This paper carries out a performance evaluation of a module for resource management in a cloud environment that includes handling available resources during execution time and ensuring the quality of service defined in the service level agreement. An analysis was conducted of different resource configurations to define which dimension of resource scaling has a real influence on client requests. The results were used to model and implement a simulated cloud system, in which the allocated resource can be changed on-the-fly, with a corresponding change in price. In this way, the proposed module seeks to satisfy both the client by ensuring quality of service, and the provider by ensuring the best use of resources at a fair price. |
format | Online Article Text |
id | pubmed-4640522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46405222015-11-13 Performance Evaluation of Resource Management in Cloud Computing Environments Batista, Bruno Guazzelli Estrella, Julio Cezar Ferreira, Carlos Henrique Gomes Filho, Dionisio Machado Leite Nakamura, Luis Hideo Vasconcelos Reiff-Marganiec, Stephan Santana, Marcos José Santana, Regina Helena Carlucci PLoS One Research Article Cloud computing is a computational model in which resource providers can offer on-demand services to clients in a transparent way. However, to be able to guarantee quality of service without limiting the number of accepted requests, providers must be able to dynamically manage the available resources so that they can be optimized. This dynamic resource management is not a trivial task, since it involves meeting several challenges related to workload modeling, virtualization, performance modeling, deployment and monitoring of applications on virtualized resources. This paper carries out a performance evaluation of a module for resource management in a cloud environment that includes handling available resources during execution time and ensuring the quality of service defined in the service level agreement. An analysis was conducted of different resource configurations to define which dimension of resource scaling has a real influence on client requests. The results were used to model and implement a simulated cloud system, in which the allocated resource can be changed on-the-fly, with a corresponding change in price. In this way, the proposed module seeks to satisfy both the client by ensuring quality of service, and the provider by ensuring the best use of resources at a fair price. Public Library of Science 2015-11-10 /pmc/articles/PMC4640522/ /pubmed/26555730 http://dx.doi.org/10.1371/journal.pone.0141914 Text en © 2015 Batista et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Batista, Bruno Guazzelli Estrella, Julio Cezar Ferreira, Carlos Henrique Gomes Filho, Dionisio Machado Leite Nakamura, Luis Hideo Vasconcelos Reiff-Marganiec, Stephan Santana, Marcos José Santana, Regina Helena Carlucci Performance Evaluation of Resource Management in Cloud Computing Environments |
title | Performance Evaluation of Resource Management in Cloud Computing Environments |
title_full | Performance Evaluation of Resource Management in Cloud Computing Environments |
title_fullStr | Performance Evaluation of Resource Management in Cloud Computing Environments |
title_full_unstemmed | Performance Evaluation of Resource Management in Cloud Computing Environments |
title_short | Performance Evaluation of Resource Management in Cloud Computing Environments |
title_sort | performance evaluation of resource management in cloud computing environments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640522/ https://www.ncbi.nlm.nih.gov/pubmed/26555730 http://dx.doi.org/10.1371/journal.pone.0141914 |
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