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One of the challenging problems when studying complex networks is the detection of sub-structures, called communities. Network communities emerge as dense parts, while they may have a few relationships to each other. Indeed, communities are latent among a mass of nodes and edges in a sparse network. This characteristic makes the community detection process more difficult. Among community detection...
The resource discovery is one of the most important services in Grid systems because providing the resources is critical to handle the applications. But some inherent characteristics of Grid environments such as large-scale and dynamicity make the resource discovery a challenging task. The hierarchical structure is widely used in Grid resource discovery but it suffers from high message load especially...
The Web article has been recognized as the most popular data source for its convenience and abundance of information. Yet its data quality is compromised as most of existing quality assessment approaches rely mainly on the syntax or lexicon, rather than the semantics. We propose a Fact-based Quality Assessment (FQA) approach, which captures the data quality based on content semantics by gleaning...
Virtualized networks are a promising approach to deal with the current ossification problem of Internet. A major challenge is related to virtual network (VN) mapping, as it is a NP-hard problem. Thus, several heuristics have been proposed aiming to achieve efficient allocation, but they do not consider dependability issues, which directly impact quality of service. This paper proposes a Greedy Randomized...
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