Practical image processing in C: acquisition, manipulation and storage: hardware, software, images and text
Communications of the ACM - Service-oriented computing
Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
HAND: Highly Available Dynamic Deployment Infrastructure for Globus Toolkit 4
PDP '07 Proceedings of the 15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing
Special Issue: Middleware for Grid Computing: A 'Possible Future': Editorials
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing: A “Possible Future”
A performance-oriented adaptive scheduler for dependent tasks on grids
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing: Future Trends (MGC2006)
A Formal Model of Dynamic Resource Allocation in Grid Computing Environment
SNPD '08 Proceedings of the 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Adaptive workflow scheduling strategy in service-based grids
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
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OGSA grids use the SOA concepts bringing new challenges for users and grid developers. This paper presents the grid service testbed (GST), an infrastructure for performance evaluation of grid service compositions in grid environments. The GST receives job submissions through a workflow manager using a workflow composition language, which allows services to be invoked sequentially or in parallel. Experimental results, using an image processing filter, show that the overhead when using a service composition scheme does not prevent the grid from giving fast workflow execution. Additionally, we demonstrate how GST manages the dynamicity of grid environments, especially for opportunistic grids, through the dynamic service instantiation and the automatic reference coordination, to choose the best computational resources without user interference. The GST functionalities choose the best resources in a way to improve the performance, besides showing how the developers may use the GST information to support scheduling decisions.