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Live Virtual Machine (VM) migration across data centers is an important support technology which will bring benefits to both cloud providers and users. At present, VM storage migration becomes the bottleneck of this technology as it explores only the static data feature of image files without much consideration on data semantics. In this paper, we propose a new space-efficient VM image structure–three-layer...
Identifying the major contributing factors to traffic collisions and their severity will assist highway safety improvement initiatives by improved facility design and educational program to address the needs due to the changes in demographics. The traffic collision data used in this study has been collected over the last 20 years on the rural highways and urban streets from Saskatchewan, Canada. In...
With the rapid development of high-throughput experiment techniques for protein-protein interaction (PPI) detection, a large amount of PPI network data are becoming available. However, the data produced by these techniques have high levels of spurious and missing interactions. This study assigns a new reliably indication for each protein pairs via the new generative network model (RIGNM) where the...
This paper proposes a methodology for automatically extracting a convenient version of T-S fuzzy models from data using a novel clustering technique, called variable string length Artificial Bee Colony (ABC) algorithm based fuzzy c-means clustering approach (VABC-FCM). In this methodology, the rule number of the T-S model is automatically determined by the VABC-FCM, without knowing the rule number...
Aiming at the defects & deficiencies existed commonly in the database of dam safety monitoring system used currently such as large data redundancy, bad data consistent, having many difficulties in managing various monitoring data & supporting effectively dam safety monitoring system's successfully running and unsuitable for update & transform, various information, included in the database...
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