G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS

Joint Authors

Hu, Rongdong
Jiang, Jingfei
Liu, Guangming
Wang, Lixin

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-10-04

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

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%.

American Psychological Association (APA)

Hu, Rongdong& Liu, Guangming& Jiang, Jingfei& Wang, Lixin. 2015. G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057929

Modern Language Association (MLA)

Hu, Rongdong…[et al.]. G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057929

American Medical Association (AMA)

Hu, Rongdong& Liu, Guangming& Jiang, Jingfei& Wang, Lixin. G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057929

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1057929