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Process migration is one of the most important features in parallel and distributed computing. It enables dynamic load balance and makes better utilization of computing resource. Post-copy is a very efficient migration algorithm but it needs process to resume on destination node with incomplete address space which may significantly reduce its efficiency especially at the initial phase. To solve this...
Complex event detection in stream is an important problem in event stream processing field. In this paper, we propose a new complex event detection algorithm in probabilistic stream, Instance Pruning and Filter-Detection Algorithm (IPF-DA). This algorithm is based on a kind of data structure called Chain Instance Queues (CIQ), to detect complex events satisfying query requirements with single-scanning...
In this paper, authors propose a new learning based method for medical image retrieval which is based on fusing different features by linearly combining different similarities. Considering the abundant classes of medical images, this paper avoid to train a classifier for each class by using large amount training data. Instead, by using optimization method to combine different features' similarity,...
Last decade has proven a drastic change in information technology. Service oriented architecture (SOA), as a new generation of software technique, comes into being to face the challenge of the soaring business varieties and complexities. This paper offers a discussion of service properties and appoints 6 key service properties for SOA. Then, the paper puts forward a role-based reference model for...
Mining frequent patterns from transaction database, time series and data stream is an important task now. Last decade, there are mainly two kinds of algorithms on frequent pattern mining. One is Apriori based on generating and testing, the other is FP-growth based on dividing and conquering, which has been widely used in static data mining. But with the new requirements of data mining, mining frequent...
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