By Sergei Gorlatch, Marian Bubak, Thierry Priol
This quantity contains the edited lawsuits of the second one CoreGRID Integration Workshop, CGIW'2006, held October 2006 in Krakow, Poland. A "Network of Excellence" funded via the eu Commission’s 6th Framework software, CoreGRID goals to bolster and boost clinical and technological excellence within the quarter of Grid and Peer-to-Peer applied sciences through bringing jointly a severe mass of well-established researchers from forty-one ecu examine associations. Designed for a certified viewers of practitioners and researchers, the quantity can be compatible for advanced-level scholars in desktop technology.
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Additional info for Achievements in European Research on Grid Systems: CoreGRID Integration Workshop 2006(Selected Papers)
General GRMS architecture. or as a specific case for those jobs that require support from the local environment. The idea of integrating this execution environment into a Grid is to improve the behavior of the Grid in general, taking advantage of the complementary functionalities provided by eNANOS. The improvement is though in terms of improving the execution time of applications and the resource usage. On the other hand, one of the important capabilities of the eNANOS System is the coordination between the different layers involved in a job execution and, in particular, the detailed information that is able to provide to the Grid level regarding the behavior of the applications in run time.
We let W be a random variable to represent the error detection time, that is, the time elapsed from the occurrence of an error up to its detection. In other words, if we reschedule the task as soon as the error in the checkpoint is detected, W represents the maximum time that we can save, relatively to the compare-at-end approach, with a single error detection. However, in the regular strategy, the computation time can be even worse than T + W , because other errors can delay the task even further.
2003. , Pukacki, J. Improving Grid Level Throughput Using Job Migration and Rescheduling Techniques in GRMS. Scientific Programming. IOS Press. , Labarta, J.. Multi-criteria Grid Resource Management using Performance Prediction Techniques, In Proceeding of the CoreGrid Integration Workshop, Pisa, 2005.  Cathy McCan, Raj Vaswani, John Zahorjan. A Dynamic Processor Allocation Policy for Multiprogrammed Shared-Memory Multiprocessors. ACM Transactions on Computer Systems. 1993.  Ivan Rodero, Julita Corbalan, Rosa M.
Achievements in European Research on Grid Systems: CoreGRID Integration Workshop 2006(Selected Papers) by Sergei Gorlatch, Marian Bubak, Thierry Priol