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Aiming at the current problems that most physical hosts in the cloud data center are so overloaded that it makes the whole cloud data center’ load imbalanced and that existing load balancing approaches have relatively high complexity, this paper has focused on the selection problem of physical hosts for deploying requested tasks and proposed a novel heuristic approach called Load Balancing based on...
This paper improves the learner model of the original remote Chinese teaching platform of self-regulated learning, and in new model, we used the GCA algorithm to takes place the original birch algorithm on learners' model. Improved learner model made a deep division for the learning styles of remote learners, which provides favorable theoretical basis for clustering algorithm.
In personalized education theory, each learner has different behavioral characteristics. From this perspective, the biggest shortcoming of the Chinese learning website is that it couldn't reflect the individuality. Although some websites have classification of Chinese learners, most of them are based on the initial registration information. This paper proposes a grouping algorithm for Chinese learners...
The Web has been dramatically deepened by the deep Web, which the traditional information fusion system shows disability to integrate. The myriad information hidden behind the deep Web attracts the considerable attention from the researchers. The key element in a deep Web information fusion system is the data source modeling problem, which determine the whole technical method of the whole system....
In this paper, a family of automata for weak factor recognition named weak factor automaton (WFA) is introduced. WFAs can at least recognize the factors of a word and have similar properties of the factor oracle. WFAs are not always acyclic and the acyclic WFA is equivalent to the factor oracle with redundant edges. Based on the same approach, a new weight automaton for precise full-text index is...
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