Analysing cancer genomics in the elastic cloud
Pallis, George C.
Dikaiakos, Marios D.
PublisherInstitute of Electrical and Electronics Engineers Inc.
SourceProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
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With the rapidly growing demand for DNA analysis, the need for storing and processing large-scale genome data has presented significant challenges. This paper describes how the Genome Analysis Toolkit (GATK) can be deployed to an elastic cloud, and defines policy to drive elastic scaling of the application. We extensively analyse the GATK to expose opportunities for resource elasticity, demonstrate that it can be practically deployed at scale in a cloud environment, and demonstrate that applying elastic scaling improves the performance to cost tradeoff achieved in a simulated environment. © 2015 IEEE.