TY - GEN
T1 - Federated Galaxy
T2 - 11th IEEE International Conference on Cloud Computing, CLOUD 2018
AU - Afgan, Enis
AU - Jalili, Vahid
AU - Goonasekera, Nuwan
AU - Taylor, James
AU - Goecks, Jeremy
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/7
Y1 - 2018/9/7
N2 - Biomedical data exploration requires integrative analyses of large datasets using a diverse ecosystem of tools. For more than a decade, the Galaxy project (https://galaxyproject.org) has provided researchers with a web-based, user-friendly, scalable data analysis framework complemented by a rich ecosystem of tools (https://usegalaxy.org/toolshed) used to perform genomic, proteomic, metabolomic, and imaging experiments. Galaxy can be deployed on the cloud (https://launch.usegalaxy.org), institutional computing clusters, and personal computers, or readily used on a number of public servers (e.g., https://usegalaxy.org). In this paper, we present our plan and progress towards creating Galaxy-as-a-Service-a federation of distributed data and computing resources into a panoptic analysis platform. Users can leverage a pool of public and institutional resources, in addition to plugging-in their private resources, helping answer the challenge of resource divergence across various Galaxy instances and enabling seamless analysis of biomedical data.
AB - Biomedical data exploration requires integrative analyses of large datasets using a diverse ecosystem of tools. For more than a decade, the Galaxy project (https://galaxyproject.org) has provided researchers with a web-based, user-friendly, scalable data analysis framework complemented by a rich ecosystem of tools (https://usegalaxy.org/toolshed) used to perform genomic, proteomic, metabolomic, and imaging experiments. Galaxy can be deployed on the cloud (https://launch.usegalaxy.org), institutional computing clusters, and personal computers, or readily used on a number of public servers (e.g., https://usegalaxy.org). In this paper, we present our plan and progress towards creating Galaxy-as-a-Service-a federation of distributed data and computing resources into a panoptic analysis platform. Users can leverage a pool of public and institutional resources, in addition to plugging-in their private resources, helping answer the challenge of resource divergence across various Galaxy instances and enabling seamless analysis of biomedical data.
KW - Cloud bursting
KW - Data federation
KW - Service computing
UR - http://www.scopus.com/inward/record.url?scp=85057484979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85057484979&partnerID=8YFLogxK
U2 - 10.1109/CLOUD.2018.00124
DO - 10.1109/CLOUD.2018.00124
M3 - Conference contribution
AN - SCOPUS:85057484979
T3 - IEEE International Conference on Cloud Computing, CLOUD
SP - 871
EP - 874
BT - Proceedings - 2018 IEEE International Conference on Cloud Computing, CLOUD 2018 - Part of the 2018 IEEE World Congress on Services
PB - IEEE Computer Society
Y2 - 2 July 2018 through 7 July 2018
ER -