The "Grid", an initiative of the distributed computing community, offers unprecedented levels of computing power for organisations to apply to solving their business problems. Uniquely it also offers the communications infrastructure required to overcome the "tyranny of distance" observed by...

This paper reports a UK Economic and Social Research Council project that is exploring the use of Grid technologies to manage distributed data and act as a secure infrastructure for the delivery of computing power to distributed teams. The application focus used to test this infrastructure is...

The INWA Grid project connects grid resources in EPCC (Edinburgh, Scotland), Curtin Business School (Perth, Western Australia) and the Chinese Academy of Sciences (Beijing, China). The project has demonstrated the application of grid computing power to the analysis of distributed data drawn from...

Any major research institution has a substantial number of computer systems on its campus, often in the scale of tens of thousands. Given that a large amount of scientific computing is appropriate for execution in an opportunistic environment, a campus grid is an inexpensive way to build a...

Over the last few years Grid computing has attracted considerable attention from the industry, because it offers opportunities for new on-demand business services for enterprises. In this article, we depict the current trend of enterprises to source Grid services offered by third-party utility...

Lately, a new computing paradigm has emerged: “Cloud Computing”. It seems to be promoted as heavily as the “Grid” was a few years ago, causing broad discussions on the differences between Grid and Cloud Computing. The first contribution of this paper is thus a detailed discussion about...

In this paper we discuss a basic framework for a grid computing market. It has long been argued that pricing of computer resources can act as a scheduling protocol. We take this idea to its natural conclusion by discussing the basic properties of such a model. We introduce agents that own...

This paper compares two distributed computing environments when used to price financial contingent claims with Monte Carlo methods: a PC grid and a scientific computing Linux cluster. The paper also investigates the performances for different distributing strategies. On the basis of our...

In this paper we present two parallel Monte Carlo based algorithms for pricing multi-dimensional Bermudan/American options. First approach relies on computation of the optimal exercise boundary while the second relies on classification of continuation and exercise values. We also evaluate the...

We construct a parallel algorithm, suitable for distributed memory architectures, of an explicit shock-capturing finite volume method for solving the two-dimensional shallow water equations. The finite volume method is based on the very popular approximate Riemann solver of Roe and is extended...