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. 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%.
School of Computer, National University of Defense Technology, Changsha 410073, China.
Rongdong
R
Hu
School of Computer, National University of Defense Technology, Changsha 410073, China ; National Supercomputer Center, Tianjin 300457, China.
Guangming
G
Liu
School of Computer, National University of Defense Technology, Changsha 410073, China.
Jingfei
J
Jiang
School of Computer, National University of Defense Technology, Changsha 410073, China.
Lixin
L
Wang
D000465:Algorithms; D000067917:Cloud Computing; D019295:Computational Biology / Q000379:methods* / Q000706:statistics & numerical data; D003199:Computer Systems; D059014:High-Throughput Nucleotide Sequencing / Q000706:statistics & numerical data; D006801:Humans; D016415:Sequence Alignment / Q000379:methods / Q000706:statistics & numerical data; D012984:Software; D014584:User-Computer Interface