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As the smart grid becomes reality, software architectures for integrating legacy systems with new innovative approaches for grid management are needed. These architectures must exhibit flexibility, extensibility, interoperability and scalability. In this position paper, we describe our preliminary work to design such an architecture, known as GridOPTICS, that will enable the deployment and integration...
Subtle implementation errors or mis-configurations in complex Internet services may lead to performance degradations without causing failures. These undiscovered performance anomalies afflict many of today's systems, causing violations of service-level agreements (SLAs), unnecessary resource over provisioning, or both. In this paper, we re-inserted realistic anomaly causes into a multi-tier Internet...
Laplacian PCA tries to maximize the intra-class covariance across all samples while preserving the local manifold information.However, the static geometry center is incompetent to express the data's manifold structure, and easily influenced by the unique noise point. Moreover, Laplacian PCA also neglects the upgraded information in the objective space. In this paper, we propose the Dynamic Laplacian...
Recently, O. C. Hamsici points out that, LDA's linear approximation deviates from the original intention of minimizing the Bayes errors, and proposes the Bayes optimality based linear discriminant method. However, the cumulative distribution function employed by their method incurs numerous possible sequences when projected to the 1-dimensional subspace, and moreover, the covariance whiten scheme...
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