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In this paper, the performance scalability in clusterbased Video-On-Demand (VOD) servers is studied with several grouping configurations of cluster nodes. To find performance bottlenecks of VOD servers, the monitoring functions are employed and the maximum Quality of Service (QoS) streams are measured under the various requests including VCR functions. From detailed experimental results, a new admission control method is proposed, that is based on available system resources and the actual amount of resource consumed for QoS streams. The proposed method provides not only the more scalable QoS in cluster-based VOD servers then legacies but also the enhancement of resource utilization by guaranteeing the maximum number of QoS streams than legacies.

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2D-Gel Electrophoresis (2D-GE) is a central technique different algorithms have been developed for 2D-GE images for separation of protein samples in proteomic research. A 2D-registration [5]-[7]. Such algorithms intensively use differentGE image usually contains hundreds of protein spots that should information from the gel images, e.g. spot intensities, spot be detected by an image processing technique. Identifying the shapes, etc. The algorithms are hence complex, but the missing proteins by comparison of two samples such as from performance is still not a superior. In this paper, a non-complex healthy person and patient can be helpful in developing medicine but effective algorithm for protein spot matching is described.or disease control. This matching process is a laborious work that Using only the protein spot location and some careful needs to be automatically done by computers with less user predefned landmarks, the algorithm iteratively moves the spot intervention as much as possible. In this paper, we propose a twopoints in the matched gel closer to its real correspondence in step iterative registration algorithm for protein spots in 2D-GE the reference gel based on the geometrical differences between images. The algorithm estimates the geometrical differences landmarks. This algorithm proves its high perfornance in between the corresponding landmarks and iteratively moves the land s. This whm tes itsyhic ane in spot points in the matched gel in order to be closer to its protei spot matchig when testing with synthetic and real gel correspondence in the reference gel. The amount of movement of images. each spot is affected by the Euclidian distances from the spot to

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