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When cloud computing works for applications such as iterative applications, geographic map rendering applications, and news or URL ranking applications in order to process big data with MapReduce, it has many chances to process duplicate or similar datasets appearing in input data or intermediate data. Since processing duplicate datasets wastes many resources in clouds, cloud computing can be enhanced...
This paper conducts a thorough research on one of the critical technologies in cloud computing, MapReduce programming model. Some of past research results showed that their methods can be executed through allocating identical tasks to each cloud node for enhancing MapReduce performance. However, such allocations are not applicable for the environment of heterogeneous cloud. Due to the different computing...
This paper presents a robust true motion estimation algorithm, designated as MPMVP (Multi-pass and Motion Vector Propagation), to enhance the accuracy of the motion vector fields in frame rate up-conversion applications. The MPMVP uses a multi-pass scheme to progressively refine approximate motion vectors to true motion vectors based upon the motion information acquired in previous passes. The multi-pass...
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