A roadmap for caGrid, an enterprise Grid architecture for biomedical research.
Joel Haskin Saltz, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin Kurç, Philip Payne, Renato Ferreira, Beth Plale, Carole Goble, David Ervin, Ashish Arunkumar Sharma, Tony C Pan, Justin Permar, Peter Brezány, F. Siebenlist, Ravi Madduri, Ian T Foster, Krishnakant Shanbhag, Charlie Mead, Neil Chue Hong · PubMed · 2008
caGrid is a middleware system which combines the Grid computing, the service oriented architecture, and the model driven architecture paradigms to support development of interoperable data and analytical resources and federation of such resources in a Grid environment. The functionality provided by caGrid is an essential and integral component of the cancer Biomedical Informatics Grid (caBIG) program. This program is established by the National Cancer Institute as a nationwide effort to develop enabling informatics technologies for collaborative, multi-institutional biomedical research with the overarching goal of accelerating translational cancer research. Although the main application domain for caGrid is cancer research, the infrastructure provides a generic framework that can be employed in other biomedical research and healthcare domains. The development of caGrid is an ongoing effort, adding new functionality and improvements based on feedback and use cases from the community. This paper provides an overview of potential future architecture and tooling directions and areas of improvement for caGrid and caGrid-like systems. This summary is based on discussions at a roadmap workshop held in February with participants from biomedical research, Grid computing, and high performance computing communities.