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An effective XML cluster method called neighbor center clustering algorithm (NCC) is presented in this paper, whose similarity is obtained through both structural and content information contained in XML files. Structural similarity is measured by the idea of Longest Common Subsequence, while content similarity is achieved using TF-IDF principles. It reduces computation complexity by avoiding direct...
Performance problems, which can stem from different system components, such as network, memory, and storage devices, are difficult to diagnose and isolate in a cluster file system. In this paper, we present an online performance anomaly detector which is able to efficiently detect performance anomaly and accurately identify the faulty sources in a system node of a cluster file system. Our method exploits...
An algorithm named SMHP is proposed, which aims at improving the efficiency of Topic Detection. In SMHP, a T-MI-TFIDF model is designed by introducing mutual information (MI) and enhancing the weight of terms in the title. Then VSM is constructed according to terms' weight, and the dimension is reduced by combining H-TOPN and PCA. Then topics are grouped based on SMHP. Experiment results show the...
To sort efficiently Multisets in parallel on the heterogeneous multi-core clusters that the nodes have different amount of processing cores, different computing and communication capabilities and distinct size of main memory, a novel a periodic multi-round data distribution model is presented and a parallel sorting algorithm for Multisets is designed by using the characteristics of multi-threading...
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