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Today, scientific and business applications generate huge amounts of data. Users of data grid, who are distributed all over the grid geographically, need such data. So ensuring the access to this distributed data efficiently is one of the most important challenges in Data grid network. Data replication algorithms are known as the most common method used to overcome this problem. They distribute several...
Biological networks having complex connectivity have been widely studied recently. By characterizing their inherent and structural behaviors in a topological perspective, these studies have attempted to discover hidden knowledge in the systems. However, even though various algorithms with graph-theoretical modeling have provided fundamentals in the network analysis, the availability of practical approaches...
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics, and an offline phase that generates the clusters by using the summary data. In this paper we propose a data stream clustering method based on a multi-agent system that uses a decentralized bottom-up self-organizing strategy...
Grid system is inclined to support resource sharing for mixed types of workloads nowadays to improve the whole user utility, which requires an effective allocation method that not only each workload user can have desirable resources to satisfy its performance requirement from the view of user, but also can avoid shortage or waste of resources from the view of system. Currently, most resource allocation...
We point out the importance to incorporate affine-gap penalties in RNA secondary-structure comparison. Two notions of affine-gap penalties, one for sequences and the other for structures, are developed. A model from Jiang et al. in [JComput Biol, 2002, 9, (2), pp. 371-388] is extended to allow this facility, and a polynomial-time algorithm is provided in this paper. Experimental results in this paper...
The paper addresses the problem of creating a comprehensive fault injection environment, which integrates and improves various simulation and supplementary functions. This is illustrated with experimental results.
One of the most famous approaches for the segmentation of color images is finding clusters in the color space. Shapes of these clusters are often complex and the time complexity of the existing algorithms for finding clusters of different shapes is usually high. In this paper, a novel clustering algorithm is proposed and used for the image segmentation purpose. This algorithm distinguishes clusters...
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