TAILIEUCHUNG - Integrated Research in GRID Computing- P14

Integrated Research in GRID Computing- P14:The deployment process for adaptive Grid applications does not finish when the application is started. Several activities have to be performed while the application is active, and actually the deployment system must rely on at least one permanent process or daemon. | GRID superscalar enabled P-GRADEportal 253 6. Conclusions related and future work The paper presented an initial solution for the integration of P-GRADE portal and GRID superscalar. The solution is based on the generation of a GRID superscalar application from a P-GRADE workflow. The GS deployment center is also used to automatically deploy the application in the local and server hosts. Concerning the future work the prototype must be finalized and then the addition of conditional and loop constructs and support for parameter study applications at workflow level can be started in order to get high-level control mechanisms similar to UNICORE 13 . Therefore we will get closer a new toolset that can assist to system administrators programmers and end-users at each stage of software development deployment and usage of complex workflow based applications on the Grid. The integrated GRID superscalar - P-GRADE Portal system shows many similarities with the GEMLCA 12 architecture. The aim of GEMLCA is to make pre-deployed legacy applications available as unified Grid services. Using the GS deployment center components of P-GRADE Portal workflows can be published in the Grid for execution as well. However while GEMLCA expects compiled and already tested executables GRID superscalar is capable to publish components from source code. Acknowledgments This word has been partially supported by NoE CoreGRID FP6-004265 and by the Ministry of Science and Technology of Spain under contract TIN2004-07739-C02-01. References 1 G. Sipos P. Kacsuk. Classification and Implementations of Workflow-Oriented Grid Portals Proc of High Performance Computing and Communications HPCC 2005 Lecture Notes in Computer Science 3726 pp. 684-693 2005. 2 R. Lovas et al. Application of P-GRADEDevelopment Environment in Meteorology. Proc of DAPSYS 2002 Linz pp. 30-37 2002. 3 T. Tannenbaum D. Wright K. Miller M. Livny. Condor - A Distributed Job Scheduler. Beowulf Cluster Computing with Linux. The MIT Press

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