Abstract
The emergence of Grid computing technology has opened up an unprecedented opportunity for biologists to share and access data, resources and tools in an integrated environment leading to a greater chance of knowledge discovery. GeneGrid is a Grid computing framework that seamlessly integrates a myriad of heterogeneous resources spanning multiple administrative domains and locations. It provides scientists an integrated environment for the streamlined access of a number of bioinformatics programs and databases through a simple and intuitive interface. It acts as a virtual bioinformatics laboratory by allowing scientists to create, execute and manage workflows that represent bioinformatics experiments. A number of cooperating Grid services interact in an orchestrated manner to provide this functionality. This paper gives insight into the details of the architecture, components and implementation of GeneGrid.
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Abbreviations
- OGSA:
-
open Grid services architecture
- SOA:
-
service oriented architecture
- OGSI:
-
open Grid services infrastructure
- SOAP:
-
simple object access protocol
- GAMSF:
-
GeneGrid application manager service factory
- GAMS:
-
GeneGrid application manager service
- OGSA-DAI:
-
open Grid services architecture-database access and integration
- GDMSF:
-
GeneGrid data manager service factory
- GDMS:
-
GeneGrid data manager service
- GWDD:
-
GeneGrid workflow definition database
- GSTRIP:
-
GeneGrid status tracking, results & input parameters database
- GWMSF:
-
GeneGrid workflow manager service factory
- GWMS:
-
GeneGrid workflow manager service
- GNM:
-
GeneGrid node monitor
- GARR:
-
GeneGrid application and resources registry
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Jithesh, P.V., Donachy, P., Harmer, T. et al. GeneGrid: Architecture, Implementation and Application. J Grid Computing 4, 209–222 (2006). https://doi.org/10.1007/s10723-006-9045-5
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DOI: https://doi.org/10.1007/s10723-006-9045-5