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As computer and Internet technology continue to advance, real-time online services are emerging. Different from traditional real-time applications for which the scheduling objective is to meet task deadlines, the optimization goal for online service systems is to maximize profit obtained through providing timely services. For this class of applications, there are two distinctive characteristics. First,...
Outlier detection is an important data mining task, LOF(local outlier factor) was proposed to indicate the degree of outlierness, which is practical for finding local outliers. However, it is difficult to decide the neighborhood size. In this paper a multi-granularity local outlier detection(MLOD) method is proposed to organize the outlierness under multi-granularity. It finds local outliers in varying...
Image stitching techniques are widely used to integrate multi-view or sequential images into one image. But visible seams, blurring, or ghosting effects may occur in the overlapping regions for real image stitching. One approach to solve this problem is to find some kinds of seams in regions where the images agree, and then a weighted or blended integrating can be carried out around the pixels on...
In distributed environment, message logging based checkpointing and rollback recovery is a commonly used approach for providing distributed systems with fault tolerance and synchronized global states. Clearly, taking more frequent checkpointing reduces system recovery time in the presence of faults, and hence improves the system availability; however, more frequent checkpointing may also increase...
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