We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
It is crucial to study basic principles that support adaptive and scalable retrieval functions in large networked environments such as the Web, where information is distributed am...
In this paper we present a cost-effective, high bandwidth server I/O network architecture, named PaScal (Parallel and Scalable). We use the PaScal server I/O network to support da...
Continued research into distributed agent-based systems and evolving web based technologies are opening up tremendous possibilities for the deployment of large scale and highly ex...
Commercial Scale-Out is a new research project at IBM Research. Its main goal is to investigate and develop technologies for the use of large scale parallelism in commercial appli...