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We generalize the label propagation algorithm in complex networks to weighted networks by weighting the label propagation rule and the termination condition of label propagation algorithm. Experiments on computer-generated networks and real-world networks are carried out to compare the generalized algorithm with original algorithm. The results show the generalized algorithm is accurate, and the number...
The QoS based route optimization is a key issue of the wireless network, which is a NPC-hard multi-objective discrete optimization problem. In this paper, an efficient multi-objective artificial bee colony optimization algorithm based on Pareto dominance called MOABC is proposed to tackle this problem. The algorithm was evaluated on a set of different scale test problems and compared with GA based...
With IPv4 addresses quickly dwindling, the Internet is forcing an evolution of itself. During the long term transition from IPv4 to IPv6, what's going on in IPv6 world becomes unknown for network operators and researchers. In this paper, we propose a heuristic algorithm to identify p2p traffic accurately and implement traffic classification based on Netflow v9 exports to illustrate what applications...
To select a suitable neighborhood size for manifold learning algorithms efficiently, a new method based on BIC (Bayesian Information Criterion) is used in this paper. Due to the locally Euclidean property of the manifold, the PCA (Principal Component Analysis) reconstruction errors of the neighborhoods without shortcut edges remain small; however, those of the neighborhoods with shortcut edges are...
We present an approach to unsupervised speaker role labeling in talk show data that makes use of two complementary sets of features: structural features that encode the participation patterns of speakers, and lexical features, which capture characteristic phrases. Techniques for using multiple clusterings are explored, leading to more robust results. Experiments on English and Mandarin talk shows...
Community structure has been recognized as an important statistical feature of network systems over the past decade. The web service in SOA system naturally forms into some service community during execution process, within which the links between nodes are very dense, but between which they are quite sparse. These service communities were generated by repeatedly interaction between composite services...
The computation of high-dimension Data Cube in data warehouse is of much importance. Dwarf is a highly compressed structure for computing and storing data cubes which can be materialized completely. During the constructing process, each closed node is stored in disk. While the computation of aggregation units needs to access the closed nodes in the disk frequently. For avoid accessing the unnecessary...
More and more Web services are emerging in the Internet with development of service computing over the past decade. The web service in SOA system naturally forms into some service community during execution process. Mining and analysis Web service community will help design SOA system and support Web service application effectively. This article addresses the problem of how to discovering Web services...
Constructing optimal event correlation architecture is crucial to large-scale event services. It plays an instrumental role in detecting composite events requested by different subscribers in scalable and timely manner. However, events generated from different sources might have different time and priority requirements. In addition, the network links and correlation servers might have different bandwidth...
Recently, with the rapid spread of computer technology, XML has become the standard for data exchange for a wide variety of applications. A large number of XML and XML schema are generated by different individual or company. The problem addressed in this paper is the execution of XML queries over multiple XML documents. In this paper, we propose an algorithm: SMXQA (semantics based multi-XML query...
The efficiency of alarm mining in large scale network is a hot topic in research area of fault location. Many projects have been utilized to improve it and some advance has been achieved, but it is still not very satisfied. Large scale telecom system daily generates large numbers of original alarm records and many of them are redundant information, actually useful information for fault location is...
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