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Object-based storage model is recently widely adopted both in industry and academia to support growingly data intensive applications in high-performance computing. However, the I/O prediction strategies which have been proven effective in traditional parallel file systems, have not been thoroughly studied under this new object-based storage model. There are new challenges introduced from object storage...
This paper proposes a short-term prediction model for transmission lines icing based on back- propagation (BP) neural network. Our work begins with a review of basic principles of this model and a brief research background. Then, a series of preprocessing on the data obtained from on-line icing monitoring system, such as the elimination of data with crassitude error, the correction of anomaly data,...
On a CMP (Chip Multi-Processor) architecture, cache sharing impacts threads non-uniformly, where some threads may be slowed down significantly, while others are not. This may cause severe performance problems such as throughput decreasing, cache thrashing. This paper proposes an architectural support predicting method (ASPM) to predict inter-thread cache contention, and schedules threads based on...
One of the most important issues in fuzzy decision tree learning is the fuzzification of input data. This paper proposes a self-adaptive data fuzzification algorithm based on the self-organizing map (SOM) technology, which can automatically determine the number and coordinates of centers in triangular membership functions. Then the membership degree of each sample to all fuzzy subsets can be calculated...
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