Nothing is more important for an enterprise application than scalability and availability. Learn how to use clustering to meet both existing and future demands. Enterprise application (EA) architects ...

Ensemble clustering methods combine multiple clustering results to yield a consensus partition that is often more robust, accurate and stable than any single clustering solution. These techniques ...

Last year about this time Oracle CEO Larry Ellison said he was betting the company on a new technology--Oracle9i Real Application Clusters (RAC). The promise of the RAC technology was significant cost ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

In brief, tomorrow’s cluster applications will look a lot like today’s PC applications. The market right now for cluster software is so small that most codes tend to be written in-house. Eventually ...

Data could be accessed from each cluster node, but only applications connected to the primary node were allowed to write data. Beside the primary node, MACH clusters could consist of SDS (shared disk ...

We propose a nonparametric Bayesian local clustering (NoB-LoC) approach for heterogeneous data. NoB-LoC implements inference for nested clusters as posterior inference under a Bayesian model. Using ...