Craig Fellenstein

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During recent years, we have witnessed a major paradigm shift in distributed computing principles, with a focus towards service orientation, open standards integration, collaboration, and virtualization. One particular area of interest centers on the evolution of grid computing principles into the mainstream of distributed computing and Web services. In(More)
Efficient utilization of resources is the key factor for any environment. The grid environment is also more dynamic, it facilitates the movement of resources in and out of the environment flexibly. Hence maintenance of centralized registries is not sufficient for this demanding environment. Here, we propose a new approach for resource discovery which(More)
Grid computing enables resource sharing and dynamic allocation of distributed heterogeneous computational resources while minimizing the associated ownership and operating cost. In grid computing there is no matter where data located is or which computer processes a task. Quality of Service parameters plays a key role in selecting Grid resources and(More)
Computational grid is an emerging trend in the area that allows the management of heterogeneous, geographically distributed and dynamically available resources in an effective way by extending the boundaries of what is being perceived as distributed computing. The most crucial problem in any grid environment is job scheduling which is observed to be as(More)
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