The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
The process of design search and optimisation is characterised by its computationally intensive operations, which produce a problem well suited to Grid computing. Here we present a...
Gang Xue, Matt J. Fairman, Graeme E. Pound, Simon ...
Data replication is one of the key components in data grid architecture as it enhances data access and reliability and minimises the cost of data transmission. In this paper, we a...
A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
Grid technologies have enabled the aggregation of geographically distributed resources, in the context of a particular application. The network remains an important requirement for...