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We derive the second-order oriented partial-differential equations (PDEs) for denoising in electronic-speckle-pattern interferometry fringe patterns from two points of view. The first is based on variational methods, and the second is based on controlling diffusion direction. Our oriented PDE models make the diffusion along only the fringe orientation. The(More)
MapReduce is a widely used programming model for large scale data processing. In order to estimate the performance of MapReduce job and analyze the bottleneck of MapReduce job, a practical performance model for MapReduce is needed. Many works have been done on modeling the performance of MapReduce jobs. However, existing performance models ignore some(More)
As the demand for cloud computing continues to increase, cloud service providers face the daunting challenge to meet the negotiated SLA agreement, in terms of reliability and timely performance, while achieving cost-effectiveness. This challenge is increasingly compounded by the increasing likelihood of failure in large-scale clouds and the rising cost of(More)
As an efficient parallel computing system based on MapReduce model, Hadoop is widely used for large-scale data analysis such as data mining, machine learning and scientific simulation. However, there are still some performance problems in MapReduce, especially the situation in the shuffle phase. In order to solve these problems, in this paper, a lightweight(More)
As the demand for cloud computing continues to increase, cloud service providers face the daunting challenge to meet the negotiated SLA agreement, in terms of reliability and timely performance, while achieving cost-effectiveness. This challenge is increasingly compounded by the increasing likelihood of failure in large-scale clouds and the rising impact of(More)
Followee recommendation plays an important role in information sharing over microblogging plat-forms. Existing followee recommendation schemes adopt either content relevance or social information for followee ranking, suffering poor performance. Based on the observation that microblogging systems have dual roles of social network and news media platform, we(More)
With concerted efforts from researchers in hardware, software, algorithm,, resource management, HPC is moving towards extreme-scale, featuring a computing capability of exaFLOPS. As we approach the new era of computing, however, several daunting scalability challenges remain to be conquered. Delivering extreme-scale performance will require a computing(More)
The accuracy of thickness is an important standard to measure the strip quality. Therefore, it is crucial to accurately obtain a high precision thickness. The ELM (extreme learning machine) based on clustering forecast method is presented for hot rolled strip thickness prediction. Firstly, strong correlation properties of thickness are obtained by data(More)
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