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Markov-modulated Poisson Process (MMPP) has been extensively studied in random process theory and widely used as a network traffic model. Most methods for estimating MMPP parameters are based on the exact arrival times. Nevertheless, in many applications it is costly to record the exact time of each arrival. Instead, we only record the number of arrivals in fixed-length time slots, which is called...
The emergence of large-scale graph data has posed essential challenges for processing them efficiently. The fundamental step for effectively processing the graph is to partition the graph and distribute the relevant parts on multiple workers for parallel computing. The existing partition strategies may suffer from the following problems: 1) They ignore the certain application features, making the...
Researchers in service computing area introduce the service Skyline to optimize web service selection. It can eliminate those low-quality web services for large amounts of candidates and return a much smaller and high-quality set to the user. But there is one obvious limitation for these work that they can only compute Skyline on one combination of QoWS parameters. However, in practical, different...
With the rapid development of remote sensing technologies, the amount of the remote sensing image data is increasing dramatically. However, the remote sensing image data's usage rate still remains very low. To solve this problem, we propose a new Service model: Anytime-Anywhere Service (AAService) model, under which users can get remote sensing images anytime and anywhere. Then we implemented and...
In the 21st century, product design becomes more rapid, modular and knowledge-based. Oriented to these characteristics, design guide management system is established based on Workflow Management System in this paper, and it provides enterprises with an effective method for knowledge accumulation and reuse in design processes. With analysis on features in design processes and design tasks, the model...
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