GalaxyCloudRunner: Enhancing scalable computing for Galaxy

Nuwan Goonasekera; Alexandru Mahmoud; John Chilton; Enis Afgan

doi:10.1093/bioinformatics/btaa860

GalaxyCloudRunner: Enhancing scalable computing for Galaxy

Nuwan Goonasekera, Alexandru Mahmoud, John Chilton, Enis Afgan

Biochemistry & Molecular Biology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Summary: The existence of more than 100 public Galaxy servers with service quotas is indicative of the need for an increased availability of compute resources for Galaxy to use. The GalaxyCloudRunner enables a Galaxy server to easily expand its available compute capacity by sending user jobs to cloud resources. User jobs are routed to the acquired resources based on a set of configurable rules and the resources can be dynamically acquired from any of four popular cloud providers (AWS, Azure, GCP or OpenStack) in an automated fashion.

Original language	English (US)
Pages (from-to)	1763-1765
Number of pages	3
Journal	Bioinformatics
Volume	37
Issue number	12
DOIs	https://doi.org/10.1093/bioinformatics/btaa860
State	Published - Jun 15 2021

All Science Journal Classification (ASJC) codes

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btaa860

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GalaxyCloudRunner: Enhancing scalable computing for Galaxy

Abstract

All Science Journal Classification (ASJC) codes

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