Abstract: In partially replicated distributed database systems, the minimization of total time usually attempts to minimize resource consumption and therefore to maximize the system throughput. On the other hand, the minimization of response time may be obtained by having a large number of parallel executions to different sites, requiring a higher resource consumption, which means that the system throughput is reduced. Workload balancing implies the reduction of the average time that queries spend waiting for CPU and I/O service at a network site, but its effect on the performance of partially replicated distributed database systems cannot be isolated from other distributed database design factors. In this research, the total cost refers to the combination of total time and response time. This paper presents a framework for total cost minimization and workload balancing for partially replicated distributed database systems considering important design factors together. The framework incorporates

• Publication Date: 08-Jun-2014
• DOI: 10.15224/978-1-63248-021-7-68
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Abstract: We present the results of an experimentation with dynamic features for breast cancer detection in Contrast-Enhanced Magnetic Resonance of the female breast. In order to understand how good the various features are we built a dataset from real dataset with proven histological diagnosis. We compared human-readable features, commonly used in the clinical practice, with a non-linear artificial neural network trained with a double k-fold cross validation. The results show that the ANN reaches very good results when two specific dynamic features are used. The particular validation procedure used in this experimentation allows us to better understand the discriminative power of the various approaches and move toward a better classifier that might be used in the clinical environment. Breast cancer, in fact, is the second form of diagnosed cancer among women living in the western countries and any improvement in its diagnosis would lead to a lower mortality rate.

• Publication Date: 08-Jun-2014
• DOI: 10.15224/978-1-63248-021-7-69
• Views: 0
• Downloads: 0