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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 549026, 8 pages
Research Article

G2LC: Resources Autoscaling for Real Time Bioinformatics Applications in IaaS

1School of Computer, National University of Defense Technology, Changsha 410073, China
2National Supercomputer Center, Tianjin 300457, China

Received 17 May 2015; Revised 22 June 2015; Accepted 23 June 2015

Academic Editor: Tao Huang

Copyright © 2015 Rongdong Hu et al. 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.


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%.