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High performance applications such as gene sequence alignment searching, data mining, graphics rendering and Monte Carlo simulations in finance and science are putting ever-increasing load on computing infrastructure. Traditionally, such pleasingly parallel workloads are parallelized using standard batch scheduling or, on a larger scale, web-service-based grid middleware, which is traditionally based...
Desktop Grids have been used intensively to deploy applications at low cost. Applications types are classified into high throughput computing and high throughput data management. Desktop Grids such as Condor, BOINC, XtremWeb and Our Grid provide a wide range of high throughput computing systems. on the other hand, several data management systems such as Bit dew, GatorShare, Stork, Grid FTP, have been...
Federated Grid resources typically span multiple administrative domains and utilize heterogeneous schedulers. This complexity complicates not only provisioning of quality of service but also management and enforcement of end-user resource utilization allocations. to overcome these problems, we propose to combine high-level meta-scheduling techniques with lower-level fairs hare prioritization mechanisms...
Grid computing supports a host of research areas, but it still lacks successful case studies concerning industrial problems. This paper shows an application developed to profit from grid computing resources to support the product-mix decision making in a plastic company.
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