Most high-availability (HA) solutions currently used are based on the pre-configuration done by human administrators. If the configuration between machines participating in the HA cluster can be automated, services clustered can be provided more efficiently. For realizing this concept, the server agent and service description server (SDS) are designed and implemented in this paper. The server a...

Storage for cluster applications is typically provisioned based on rough, qualitative characterizations of applications. Moreover, configurations are often selected based on rules of thumb and are usually homogeneous across a deployment; to handle increased load, the application is simply scaled out across additional machines and storage of the same type. As deployments grow larger and storage ...

We present a supervised approach to automatically labelling topic clusters of reader comments to online news. We use a feature set that includes both features capturing properties local to the cluster and features that capture aspects from the news article and from comments outside the cluster. We evaluate the approach in an automatic and a manual, task-based setting. Both evaluations show the ...

This paper reports preliminary experimental evaluation of a Processing Elements Stealing (PE-S) technique which was targeted as efficient and scalable load balancing technique for dynamically structured multiprocessor systems. The multiprocessor system is imagined as a dynamic cluster based multiprocessor. Each cluster of the multiprocessor system is a node in symmetric multiprocessor architect...

The method of calculating the analytical energy gradients for the ground, excited, ionized and electron-attached states Ž . Ž . calculated by the SAC symmetry adapted cluster rSAC-CI configuration interaction method is formulated and implemented. It is adapted with the configuration selection procedure used in the SACrSAC-CI method. The performance of the method is investigated for the Li and C...

The effort required to build a classifier for a task in a target language can be significantly reduced by utilizing the knowledge gained during an earlier effort of model building in a source language for a similar task. In this paper, we investigate whether unlabeled data in the target language can be labeled given the availability of labeled data for a similar domain in the source language. W...

We present a sequence of unsupervised, nonparametric Bayesian models for clustering complex linguistic objects. In this approach, we consider a potentially infinite number of features and categorical outcomes. We evaluated these models for the task of withinand cross-document event coreference on two corpora. All the models we investigated show significant improvements when compared against an ...

A parallel SAR processor is presented in this paper. The target configuration is a cluster of UNIX workstations, available in most user sites. This fact allows to obtain an increased computing performance without the need of dedicated hardware investment.

We consider the simple random walk on a two-dimensional super-critical infinite percolation cluster. We prove that, for almost every percolation configuration, the path distribution of the walk converges weakly to a non-degenerate Brownian motion.

Multi-Agent Clustering (MAC) requires a mechanism for identifying the most appropriate cluster configuration. This paper reports on experiments conducted with respect to a number of validation metrics to identify the most effective metric with respect to this context. This paper also describes a process whereby such metrics can be used to determine the optimum parameters typically required by c...