Optimisation of component-based applications within a grid environment
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
A Component Framework for HPC Applications
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
ICENI: an open grid service architecture implemented with Jini
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
MPI: A Message-Passing Interface Standard
MPI: A Message-Passing Interface Standard
GLARE: A Grid Activity Registration, Deployment and Provisioning Framework
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
A novel domain oriented approach for scientific grid workflow composition
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Asynchronous typed object groups for grid programming
International Journal of Parallel Programming
Scientific workflow: a survey and research directions
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
A componentized approach to grid enabling seismic wave modeling application
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Workflow deployment in ICENI II
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
CIA'06 Proceedings of the 10th international conference on Cooperative Information Agents
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The ICENI middleware utilises information captured within a component based application in order to facilitate Grid-based scheduling. We describe a system of application related meta-data that features a separation of concerns between meaning, behaviour and implementation, which allows for both communication and implementation selection at run-time, while providing the user with a flow-based programming model. It is shown that this separation enables a flexible approach to scheduling, and eases the integration of components with disparate control flow patterns or data types, by means of converters and tees for collective communication. By explicitly recording application information and supporting multiple scheduling approaches, communication protocols and component applications, while retaining OGSA compatibility, the ICENI component model is ideally suited to Grid computing.