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G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS
Cloud computing has started to change the way how bioinformatics research is being carried out. Researchers who have taken advantage of this technology can process larger amounts of data and speed up scientific discovery. The variability in data volume results in variable computing requirements. The...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609414/ https://www.ncbi.nlm.nih.gov/pubmed/26504488 http://dx.doi.org/10.1155/2015/549026 |
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author | Hu, Rongdong Liu, Guangming Jiang, Jingfei Wang, Lixin |
author_facet | Hu, Rongdong Liu, Guangming Jiang, Jingfei Wang, Lixin |
author_sort | Hu, Rongdong |
collection | PubMed |
description | Cloud computing has started to change the way how bioinformatics research is being carried out. Researchers who have taken advantage of this technology can process larger amounts of data and speed up scientific discovery. The variability in data volume results in variable computing requirements. Therefore, bioinformatics researchers are pursuing more reliable and efficient methods for conducting sequencing analyses. This paper proposes an automated resource provisioning method, G2LC, for bioinformatics applications in IaaS. It enables application to output the results in a real time manner. Its main purpose is to guarantee applications performance, while improving resource utilization. Real sequence searching data of BLAST is used to evaluate the effectiveness of G2LC. Experimental results show that G2LC guarantees the application performance, while resource is saved up to 20.14%. |
format | Online Article Text |
id | pubmed-4609414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46094142015-10-26 G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS Hu, Rongdong Liu, Guangming Jiang, Jingfei Wang, Lixin Comput Math Methods Med Research Article Cloud computing has started to change the way how bioinformatics research is being carried out. Researchers who have taken advantage of this technology can process larger amounts of data and speed up scientific discovery. The variability in data volume results in variable computing requirements. Therefore, bioinformatics researchers are pursuing more reliable and efficient methods for conducting sequencing analyses. This paper proposes an automated resource provisioning method, G2LC, for bioinformatics applications in IaaS. It enables application to output the results in a real time manner. Its main purpose is to guarantee applications performance, while improving resource utilization. Real sequence searching data of BLAST is used to evaluate the effectiveness of G2LC. Experimental results show that G2LC guarantees the application performance, while resource is saved up to 20.14%. Hindawi Publishing Corporation 2015 2015-10-04 /pmc/articles/PMC4609414/ /pubmed/26504488 http://dx.doi.org/10.1155/2015/549026 Text en Copyright © 2015 Rongdong Hu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hu, Rongdong Liu, Guangming Jiang, Jingfei Wang, Lixin G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS |
title | G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS |
title_full | G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS |
title_fullStr | G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS |
title_full_unstemmed | G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS |
title_short | G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS |
title_sort | g2lc: resources autoscaling for real time bioinformatics applications in iaas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609414/ https://www.ncbi.nlm.nih.gov/pubmed/26504488 http://dx.doi.org/10.1155/2015/549026 |
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